Google Certified Professional Cloud Architect 證照考古題大全
谷歌雲端架構師證照題庫彙整 20241005
Google Cloud Platform（GCP 谷歌雲）全系列考古題，2024年最新題庫，持續更新，全網最完整。GCP 證照含金量高，自我進修、跨足雲端產業必備近期版本更新，隨時追蹤最新趨勢變化。
QUESTION 41
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers
A. Port the application code to run on Google App Engine.
B. Integrate Cloud Dataflow into the application to capture real-time metrics.
C. Instrument the application with a monitoring tool like Stackdriver Debugger.
D. Select an automation framework to reliably provision the cloud infrastructure.
E. Deploy a continuous integration tool with automated testing in a staging environment.
F. Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.
Correct Answer: ADE
Section: (none)
QUESTION 42
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.What should you do?
A. Option A
B. Option B
C. Option C
D. Option D
Correct Answer: C
Section: (none)
QUESTION 43
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager. What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers
A. Cloud Deployment Manager uses Python.
B. Cloud Deployment Manager APIs could be deprecated in the future.
C. Cloud Deployment Manager is unfamiliar to the company's engineers.
D. Cloud Deployment Manager requires a Google APIs service account to run.
E. Cloud Deployment Manager can be used to permanently delete cloud resources.
F. Cloud Deployment Manager only supports automation of Google Cloud resources.
Correct Answer: EF
Section: (none)
QUESTION 44
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script isprinting errors that it cannot connect to BigQuery. What should you do to fix the script?
A. Install the latest BigQuery API client library for Python
B. Run your script on a new virtual machine with the BigQuery access scope enabled
C. Create a new service account with BigQuery access and execute your script with that user
D. Install the bq component for gccloud with the command gcloud components install bq.
Correct Answer: A
Section: (none)
QUESTION 45
Your company has decided to make a major revision of their API in order to create better experiences for theirdevelopers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. Whatshould they do?
A. Configure a new load balancer for the new version of the API.
B. Reconfigure old clients to use a new endpoint for the new API.
C. Have the old API forward traffic to the new API based on the path.
D. Use separate backend pools for each API path behind the load balancer.
Correct Answer: D
Section: (none)
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QUESTION 46
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier(web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier. How should youconfigure the network?
A. Add each tier to a different subnetwork.
B. Set up software based firewalls on individual VMs.
C. Add tags to each tier and set up routes to allow the desired traffic flow.
D. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
Correct Answer: D
Section: (none)
QUESTION 47
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiplestart/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? Choose 2 answers
A. Use the --no-auto-delete flag on all persistent disks and stop the VM.
B. Use the -auto-delete flag on all persistent disks and terminate the VM.
C. Apply VM CPU utilization label and include it in the BigQuery billing export.
D. Use Google BigQuery billing export and labels to associate cost to groups.
E. Store all state into local SSD, snapshot the persistent disks, and terminate the VM.
F. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.
Correct Answer: AD
Section: (none)
QUESTION 48
You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload. Whatshould you do?
A. Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the GCPConsole.
B. Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed instancegroup for the cluster using the gcloud command.
C. Create a deployment and set the maxUnavailable and maxSurge properties. Enable the ClusterAutoscaler using the gcloud command..
D. Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the cluster managed instance group from the GCP Console.
Correct Answer: A
Section: (none)
QUESTION 49
Your office is connected to GCP via a VPN connection. How can you increase the speed of your VPN connection,assuming that your office Internet is not the bottleneck?
A. Apply for a dedicated interconnect option
B. Enable high speed routing in your VPN settings
C. Create an additional VPN tunnel
D. Submit request to increase bandwidth quota
Correct Answer: C
Section: (none)
QUESTION 50
As part of your backup plan, you set up regular snapshots of Compute Engine instances that are running. You want tobe able to restore these snapshots using the fewest possible steps for replacement instances. What should you do?
A. Export the snapshots to Cloud Storage. Create disks from the exported snapshot files. Createimages from the new disks.
B. Export the snapshots to Cloud Storage. Create images from the exported snapshot files.
C. Use the snapshots to create replacement disks. Use the disks to create instances as needed.
D. Use the snapshots to create replacement instances as needed.
Correct Answer: D
Section: (none)
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QUESTION 51
Case Study: 1 - Mountkirk Games Case Study CompanyOverview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game'sbackend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and takeadvantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user
adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluatethe speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we canadapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enoughpremium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?
A. Tests should scale well beyond the prior approaches.
B. Unit tests are no longer required, only end-to-end tests.
C. Tests should be applied after the release is in the production environment.
D. Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.
Correct Answer: A
Section: (none)
QUESTION 52
Case Study: 1 - Mountkirk Games Case Study CompanyOverview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game'sbackend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and takeadvantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption andaffecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed andstability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt thegams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to
an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enoughpremium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study. Mountkirk Games has deployed their new backend onGoogle Cloud Platform (GCP).
You want to create a thorough testing process for new versions of the backend before they are released to the public.
You want the testing environment to scale in an economical way. How shouldyou design the process?
A. Create a scalable environment in GCP for simulating production load.
B. Use the existing infrastructure to test the GCP-based backend at scale.
C. Build stress tests into each component of your application using resources internal to GCP to simulate load.
D. Create a set of static environments in GCP to test different levels of load -- for example, high, medium, and low.
Correct Answer: A
Section: (none)
QUESTION 53
Case Study: 1 - Mountkirk Games Case Study CompanyOverview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game'sbackend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and takeadvantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption andaffecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed andstability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt thegams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to anenvironment that provides autoscaling, low latency load balancing, and frees us up from managing
physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enoughpremium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly.Mountkirk Games has the following requirements:
- Services are deployed redundantly across multiple regions in the US and Europe.
- Only frontend services are exposed on the public internet.
- They can provide a single frontend IP for their fleet of services.
- Deployment artifacts are immutable. Which setof products should they use?
A. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
B. Google Cloud Storage, Google App Engine, Google Network Load Balancer
C. Google Container Registry, Google Container Engine, Google HTTP(s) Load Balancer
D. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
E. Container Registry, Google Kubernetes Engine, Cloud Load Balancing
Correct Answer: E
Section: (none)
QUESTION 54
Case Study: 1 - Mountkirk Games Case Study CompanyOverview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game'sbackend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and takeadvantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption andaffecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed andstability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt thegams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enoughpremium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study. Mountkirk Games' gaming servers are notautomatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. Arecord number of users are trying to use the service, but many of them are getting 503 errors and very slowresponse times. What should they investigate first?
A. Verify that the database is online.
B. Verify that the project quota hasn't been exceeded.
C. Verify that the new feature code did not introduce any performance bugs.
D. Verify that the load-testing team is not running their tool against production.
Correct Answer: B
Section: (none)
QUESTION 55
Case Study: 1 - Mountkirk Games Case Study CompanyOverview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game'sbackend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and takeadvantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption andaffecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed andstability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt thegams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to anenvironment that provides autoscaling, low latency load balancing, and frees us up from managing
physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enoughpremium Blast-Ups inside the games, which dramatically impacts our revenue.
For this question, refer to the Mountkirk Games case study Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access eachother's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production. What should you do to isolate development environments fromstaging and production?
A. Create a project for development and test and another for staging and production.
B. Create a network for development and test and another for staging and production.
C. Create one subnetwork for development and another for staging and production.
D. Create one project for development, a second for staging and a third for production.
Correct Answer: A
Section: (none)
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QUESTION 56
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Googletechnologies will meet all of their requirements?
A. Container Engine, Cloud Pub/Sub, and Cloud SQL
B. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
C. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
D. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
E. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
Correct Answer: B
Section: (none)
QUESTION 57
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question, refer to the TerramEarth case study. TerramEarth's CTO wants to use the raw data from connectedvehicles to help identify approximately when a vehicle in the field will have a catastrophic failure. You want to allowanalysts to centrally query the vehicle data. Which architecture should you recommend?
A.
B.
C.
D.
Correct Answer: A
Section: (none)
QUESTION 58
Case Study: 2 - TerramEarth Case Study CompanyOverview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. Thecompany cares about their employees and customers and considers them to be extended
members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations. For this question, refer to the TerramEarth case study. The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework.
Which method should they use?
A. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
B. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
C. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
D. Use Google Container Engine with a Django Python container. Focus on an API for the public.
E. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification)framework. Focus on an API for dealers and partners.
Correct Answer: A
Section: (none)
QUESTION 59
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question, refer to the TerramEarth case study.
Your development team has created a structured API to retrieve vehicle data. They want to allow third parties todevelop tools for dealerships that use this vehicle event data. You want to support delegated authorization againstthis data. What should you do?
A. Build or leverage an OAuth-compatible access control system.
B. Build SAML 2.0 SSO compatibility into your authentication system.
C. Restrict data access based on the source IP address of the partner systems.
D. Create secondary credentials for each dealer that can be given to the trusted third party.
Correct Answer: A
Section: (none)
想要提升您的雲端運營效率？點擊這裡 了解小豬科技的專業方案。
QUESTION 60
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of
our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question, refer to the TerramEarth case study. TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should youdesign the data ingestion?
A. Vehicles write data directly to GCS.
B. Vehicles write data directly to Google Cloud Pub/Sub.
C. Vehicles stream data directly to Google BigQuery.
D. Vehicles continue to write data using the existing system (FTP).
Correct Answer: C
Section: (none)
QUESTION 61
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question, refer to the TerramEarth case study. You analyzed TerramEarth's business requirement to reducedowntime, and found that they can achieve a majority of time saving by reducing customers' wait time for parts. You decided to focus on reduction of the 3 weeks aggregate reporting time. Which modifications to the company'sprocesses should you recommend?
A. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysisof metrics.
B. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learninganalysis of metrics.
C. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machinelearning analysis of metrics.
D. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer localinventory by a fixed factor.
Correct Answer: C
Section: (none)
QUESTION 62
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question refer to the TerramEarth case study. Which of TerramEarth's legacy enterprise processes willexperience significant change as a result of increased Google Cloud Platform adoption.
A. Opex/capex allocation, LAN changes, capacity planning
B. Capacity planning, TCO calculations, opex/capex allocation
C. Capacity planning, utilization measurement, data center expansion
D. Data Center expansion, TCO calculations, utilization measurement
Correct Answer: B
Section: (none)
QUESTION 63
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network,allowing TerramEarth to collect data directly. At a rate of 120 fields of data
per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connectedvehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question, refer to the TerramEarth case study. To speed up data retrieval, more vehicles will be upgraded tocellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?
A. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run theETL process using data in the bucket.
B. Use multiple Google Container Engine clusters running FTP servers located in different regions.
Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.
C. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asiausing Google APIs over HTTP(S). Run the ETL process using the data in the bucket.
D. Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asiausing Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.
Correct Answer: C
Section: (none)
QUESTION 64
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question, refer to the TerramEarth case study. TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket(US. Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to runthis job?
A. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.
B. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
C. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multiregion bucket and use a Dataproc cluster to finish the job.
D. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a regionalbucket and use a Cloud Dataproc cluster to finish the job.
Correct Answer: D
Section: (none)
QUESTION 65
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question, refer to the TerramEarth case study. TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want tostore this data in the cloud while reducing costs.
What should they do?
A. Have the vehicle' computer compress the data in hourly snapshots, and store it in a Google Cloud storage(GCS) Nearline bucket.
B. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in GoogleBigQuery.
C. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in CloudBigtable.
D. Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
Correct Answer: B
Section: (none)
不要錯過小豬科技的專屬優惠，馬上註冊 您的雲端帳號。
QUESTION 66
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries.Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needschange. For the past 20 years trends in the industry have been largely toward increasing productivity by using largervehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via amaintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systemsgzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use their equipment IP better position newproducts and services.
- Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast- growingagricultural business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devicestechnology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately,our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incrementalinnovations.
For this question refer to the TerramEarth case study Operational parameters such as oil pressure are adjustable oneach of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can youaccomplish this goal?
A. Have your engineers inspect the data for patterns, and then create an algorithm with rules that makeoperational adjustments automatically.
B. Capture all operating data, train machine learning models that identify ideal operations, and run locally to makeoperational adjustments automatically.
C. Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google CloudMessaging (GCM) to make operational adjustments automatically.
D. Capture all operating data, train machine learning models that identify ideal operations, and host in GoogleCloud Machine Learning (ML) Platform to make operational adjustments automatically.
Correct Answer: D
Section: (none)
QUESTION 67
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such asgroceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, theyrecently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that marketkey for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review todetermine their suitability for the cloud and the engineering required for migration. They currently host all of theseapplications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications aredual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database
-homed in US West
Authenticates all users Compute
-core CPU Storage
Business Requirements TechnicalRequirements
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in- store experiences. As alarge global company, we also have a responsibility to the environment through
`green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success.Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning toimprove our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us torespond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study. The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration betweenproduction and development resources. What Google domain and project structure should you recommend?
A. Create two G Suite accounts to manage users: one for development/test/staging and one for production. Eachaccount should contain one project for every application.
B. Create two G Suite accounts to manage users: one with a single project for all development applications and onewith a single project for all production applications.
C. Create a single G Suite account to manage users with each stage of each application in its own project.
D. Create a single G Suite account to manage users with one project for the development/test/stagingenvironment and one project for the production environment.
Correct Answer: D
Section: (none)
QUESTION 68
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such asgroceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, theyrecently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that marketkey for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review todetermine their suitability for the cloud and the engineering required for migration. They currently host all of theseapplications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications aredual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database trategy
-homed in US West
Authenticates all users Compute
-core CPU Storage
Business Requirements TechnicalRequirements
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in- store experiences. As alarge global company, we also have a responsibility to the environment through
`green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success.Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning toimprove our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us torespond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study. The migration of JencoMart's application to Google Cloud Platform(GCP) is progressing too slowly. The infrastructure is shown in the diagram.
You want to maximize throughput.
What are three potential bottlenecks? (Choose 3 answers.)
A. A single VPN tunnel, which limits throughput
B. A tier of Google Cloud Storage that is not suited for this task
C. A copy command that is not suited to operate over long distances
D. Fewer virtual machines (VMs) in GCP than on-premises machines
E. A separate storage layer outside the VMs, which is not suited for this task
F. Complicated internet connectivity between the on-premises infrastructure and GCP
Correct Answer: ACE
Section: (none)
QUESTION 69
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such asgroceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, theyrecently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background f theworld's leading
JencoMart started as a general store in 1931, and has grown into one o brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25%of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review todetermine their suitability for the cloud and the engineering required for migration. They currently host all of theseapplications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications aredual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture. ApplicationCustomer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database
-homed in US West every 12hours
Authenticates all users Compute
-core CPU Storage
Business Requirements
Technical Requirements CEOStatement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in- store experiences. As alarge global company, we also have a responsibility to the environment through
`green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success.Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning toimprove our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us torespond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study A few days after JencoMart migrates the user credentialsdatabase to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly. What three steps should you taketo diagnose the problem? Choose 3 answers
A. Delete the virtual machine (VM) and disks and create a new one.
B. Delete the instance, attach the disk to a new VM, and investigate.
C. Take a snapshot of the disk and connect to a new machine to investigate.
D. Check inbound firewall rules for the network the machine is connected to.
E. Connect the machine to another network with very simple firewall rules and investigate.
F. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, andinvestigate.
Correct Answer: CDF
Section: (none)
如需幫助，立即聯絡 我們的小豬科技專員，快速解決您的需求。
QUESTION 70
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of , and jewelry. One ofthe company's core values is excellent goods, such as groceries, tires customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
e in 1931, and has grown into one of the world's leading JencoMart started as a general stor brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market keyfor future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review todetermine their suitability for the cloud and the engineering required for migration. They currently host all of theseapplications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications aredual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database
-homed in US West
Authenticates all users Compute
-core CPU Storage
Business Requirements
Technical Requirements CEOStatement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in- store experiences. As alarge global company, we also have a responsibility to the environment through
`green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success.Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning toimprove our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us torespond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study. JencoMart wants to move their User Profiles database to GoogleCloud Platform.
Which Google Database should they use?
A. Cloud Spanner
B. Google BigQuery
C. Google Cloud SQL
D. Google Cloud Datastore
Correct Answer: D
Section: (none)
QUESTION 71
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such asgroceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, theyrecently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that marketkey for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review todetermine their suitability for the cloud and the engineering required for migration. They currently host all of theseapplications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications aredual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database
-homed in US West
Authenticates all users Compute
-core CPU (RAID 1)
Storage
Business Requirements TechnicalRequirements CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in- store experiences. As alarge global company, we also have a nvironment through `green' initiatives and polices.
responsibility to the e
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success.Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning toimprove our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us torespond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study. JencoMart has decided to migrate user profile storage
to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, theexisting infrastructure will need access to Datastore to upload the data. What service account key- managementstrategy should you recommend?
A. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
B. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.
C. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managedkeys for the VMs
D. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on- premisesinfrastructure and use GCP managed keys for the VMs.
Correct Answer: A
Section: (none)
QUESTION 72
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such asgroceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, theyrecently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that marketkey for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review todetermine their suitability for the cloud and the engineering required for migration. They currently host all of theseapplications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications aredual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers.
Database
-homed in US West
Authenticates all users Compute
CPUs
-core CPU Storage
Business Requirements TechnicalRequirements
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. Thefuture of our retail business is in the global market and the connection between online and in-
store experiences. As a large global company, we also have a responsibility to the environment through
`green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success.Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning toimprove our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us torespond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study. JencoMart has built a version of their application on GoogleCloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals.Which metrics should you track?
A. Error rates for requests from Asia
B. Latency difference between US and Asia
C. Total visits, error rates, and latency from Asia
D. Total visits and average latency for users in Asia
E. The number of character sets present in the database
Correct Answer: D
Section: (none)
QUESTION 73
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data Redis -metadata, social graph, caching
Application servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing Storageappliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS - image storage, logs, backups ApacheHadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in theircurrent data center.
How should he proceed?
A. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
B. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
C. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
D. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
Correct Answer: A
Section: (none)
QUESTION 74
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data Redis -metadata, social graph, caching
Application servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS - image storage, logs, backups ApacheHadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and
optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. Dress4Win has asked you to recommend machine types theyshould deploy their application servers to. How should you proceed?
A. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in thecloud.
B. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratioavailable.
C. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time,and scale the machine type up until the desired performance is reached.
D. Identify the number of virtual cores and RAM associated with the application server virtual machines align them toa custom machine type in the cloud, monitor performance, and scale the machine types up until the desiredperformance is reached.
Correct Answer: D
Section: (none)
QUESTION 75
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data Redis -metadata, social graph, caching
Application servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS - image storage, logs, backups ApacheHadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. Dress4Win has asked you for advice on how to migrate their on-premises MySQL deployment to the cloud. They want to minimize downtime and performance impact to their on-premises solution during the migration. Which approach should you recommend?
A. Create a dump of the on-premises MySQL master server, and then shut it down, upload it to the cloudenvironment, and load into a new MySQL cluster.
B. Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronousreplication from the MySQL master server on-premises until cutover.
C. Create a new MySQL cluster in the cloud, configure applications to begin writing to both on- premises and cloudMySQL masters, and destroy the original cluster at cutover.
D. Create a dump of the MySQL replica server into the cloud environment, load it into: Google CloudDatastore, and configure applications to read/write to Cloud Datastore at cutover.
Correct Answer: B
Section: (none)
深入了解小豬科技的創新技術，點擊這裡 發現更多可能性。
QUESTION 76
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data Redis -metadata, social graph, caching
Application servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing Storageappliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS -image storage, logs, backups
Apache Hadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services. The Stackdriver dashboard is not reporting the services as healthy.What should they do?
A. Install the Stackdriver agent on all of the legacy web servers.
B. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inboundfirewall rule
C. Configure their load balancer to pass through the User-Agent HTTP header when the value matchesGoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
D. Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the valuematches GoogleStackdriverMonitoring-- UptimeChecks (https://cloud.google.com/monitoring)
Correct Answer: B
Section: (none)QUESTION 77
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data Redis -metadata, social graph, caching
Application servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS - image storage, logs, backups ApacheHadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the
production environment to cloud during an emergency. Identify production services that can migrate to cloud to savecapacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment. CEOStatement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. You want to ensure Dress4Win's sales and tax recordsremain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Whichcloud services should you choose?
A. Google Cloud Storage Coldline to store the data, and gsutil to access the data.
B. Google Cloud Storage Nearline to store the data, and gsutil to access the data.
C. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
D. BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instancegroup to access the data.
Correct Answer: A
Section: (none)
QUESTION 78
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data Redis -metadata, social graph, caching
Application servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS - image storage, logs, backups ApacheHadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. Dress4Win has end-to-end tests covering 100% of theirendpoints. They want to ensure that the move to the cloud does not introduce any new bugs. Which additionaltesting methods should the developers employ to prevent an outage?
A. They should enable Google Stackdriver Debugger on the application code to show errors in the code.
B. They should add additional unit tests and production scale load tests on their cloud staging environment.
C. They should run the end-to-end tests in the cloud staging environment to determine if the code is workingas intended.
D. They should add canary tests so developers can measure how much of an impact the new release causes tolatency.
Correct Answer: B
Section: (none)
QUESTION 79
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. Databases:
MySQL - user data, inventory, static data Redis -metadata, social graph, caching
Application servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS - image storage, logs, backups ApacheHadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The customer has exclusive control over who may view these images.Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in. Which configuration should Dress4Win use?
A. Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that mapseach customer's ID and their image files.
B. Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in CloudStorage that contains the customer's unique ID.
C. Use a distributed file system to store customers' images. As storage needs increase, add more persistent disksand/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring privacy ofimages.
D. Use a distributed file system to store customers' images. As storage needs increase, add more persistent disksand/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's ID to theirimage files.
Correct Answer: B
Section: (none)
QUESTION 80
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using awebsite and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium appmodel.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers andappliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win iscommitting to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and whichcomponents they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
Redis - metadata, social graph, cachingApplication servers:
Tomcat - Java micro-services Nginx -static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases NAS -image storage, logs, backups
Apache Hadoop/Spark servers:
Data analysis
Real-time trending calculations MQservers:
Messaging
Social notifications Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners BusinessRequirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining andadhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible. Encryptdata on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment. CEOStatement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They arealso concerned that a new competitor could use a public cloud platform to offset their up-front investment andfreeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patternsare highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost ofownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study. The Dress4Win security team has disabled external SSH accessinto production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotelymanage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?
A. Grant the operations engineers access to use Google Cloud Shell.
B. Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
C. Develop a new access request process that grants temporary SSH access to cloud VMs when anoperations engineer needs to perform a task.
D. Have the development team build an API service that allows the operations team to execute specific remoteprocedure calls to accomplish their tasks.
Correct Answer: B
Section: (none)
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