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 20241010

Google Certified Professional Cloud Architect

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 161

You need to ensure reliability for your application and operations by supporting reliable task a scheduling for compute on GCP. Leveraging Google best practices, what should you do?

A.       Using the Cron service provided by App Engine, publishing messages directly to a message- processing utilityservice running on Compute Engine instances.

B.       Using the Cron service provided by App Engine, publish messages to a Cloud Pub/Sub topic. Subscribeto that topic using a message-processing utility service running on Compute Engine instances.

C.      Using the Cron service provided by Google Kubernetes Engine (GKE), publish messages directly to a message-processing utility service running on Compute Engine instances.

D.      Using the Cron service provided by GKE, publish messages to a Cloud Pub/Sub topic. Subscribe to that topicusing a message-processing utility service running on Compute Engine instances.

Correct Answer: B

Section: (none)

QUESTION 162

Your company is building a new architecture to support its data-centric business focus. You are responsible for setting up the network. Your company's mobile and web-facing applications will be deployed on- premises, and all data analysis will be conducted in GCP. The plan is to process and load 7 years of archived .csv files totaling 900 TB ofdata and then continue loading 10 TB of data daily. You currently have an existing 100-MB internet connection.

What actions will meet your company's needs?

A.       Compress and upload both achieved files and files uploaded daily using the qsutil -m option.

B.       Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archiveddata to Cloud Storage. Establish a connection with Google using a Dedicated Interconnect or Direct Peeringconnection and use it to upload files daily.

C.      Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish one Cloud VPN Tunnel to VPC networks over the public internet, andcompares and upload files daily using the gsutil

D.      Lease a Transfer Appliance, upload archived files to it, and send it to Google to transfer archived data to Cloud Storage. Establish a Cloud VPN Tunnel to VPC networks over the public internet, and compress and upload files daily.

Correct Answer: B

Section: (none)

QUESTION 163

You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects events instrict chronological order with no repeat data for proper processing.

 Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?

A.       Cloud Pub/Sub alone

B.       Cloud Pub/Sub to Cloud DataFlow

C.      Cloud Pub/Sub to Stackdriver

D.      Cloud Pub/Sub to Cloud SQL

Correct Answer: B

Section: (none)

QUESTION 164

A recent audit revealed that a new network was created in your GCP project. In this network, a GCE instance has anSSH port open to the world. You want to discover this network's origin.

 What should you do?

A.       Search for Create VM entry in the Stackdriver alerting console

B.       Navigate to the Activity page in the Home section. Set category to Data Access and search for Create VM entry

C.      In the Logging section of the console, specify GCE Network as the logging section. Search for the CreateInsert entry

D.      Connect to the GCE instance using project SSH keys. Identify previous logins in system logs, and match these withthe project owners list

Correct Answer: C

Section: (none)

QUESTION 165

A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for datafiles. The database is about to run out of storage space.

How can you remediate the problem with the least amount of downtime?

A.       In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.

B.       Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restartthe virtual machine

C.      In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to usewith the fdisk command in Linux

D.      In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it,and configure the database service to move the files to the new disk

E.       In the Cloud Platform Console, create a snapshot of the persistent disk restore the snapshot to a new larger disk, unmount the old disk, mount the new disk and restart the database service

Correct Answer: A

Section: (none)

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QUESTION 166

Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed inthe us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99,99% availability SLA under these conditions. However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA oncethey introduce additional user load.

What should you do?

A.       Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the sametime, terminate all resources in one of the zones

B.       Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer,and introduce "chaos" to the system by terminating random resources on both zones

C.      Expose the new system to a larger group of users, and increase group size each day until autoscale logic istriggered on all layers. At the same time, terminate random resources on both zones

D.      Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also, deriveestimated number of users based on existing user's usage of the app, and deploy enough resources to handle200% of expected load

Correct Answer: D

Section: (none)

QUESTION 167

Case Study: 7 - Mountkirk Games

Company Overview

Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.

Due to the unexpected popularity of some of their games, they have had problems scaling their global audience,application servers, MySQL databases, and analytics tools. Their 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 oy the game's backend on Google Compute Engine so they can capture streaming metrics, depl run intensive analytics, and take advantageof its autoscaling server environment and integrate with a managed NoSQL database.

Business Requirements Increase to aglobal footprint.

Improve uptime

Increase efficiency of the cloud resources we use. Reduce latencyto all customers.

Technical Requirements

Requirements for Game Backend Platform Dynamically scale upor down based on game activity.

Connect to a transactional database service to manage user profiles and game state. Store gameactivity in a timeseries database service for future analysis.

As the system scales, ensure that data is not lost due to processing backlogs. Run hardenedLinux distro.

Requirements for Game Analytics Platform Dynamically scale upor down based on game activity

Process incoming data on the fly directly from the game servers Process data that arrives late because of slow mobile networks Allow queries toaccess at least 10 TB of historical data

Process files that are regularly uploaded by users' mobile devices

Executive Statement

Our last successful game did not scale well with our previous cloud provider, resulting in lower affecting the game's reputation. Our investors want more key performance user adoption and 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 the game to target users. Additionally, 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 upfrom managing physical servers.

For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platformarchitecture. The game communicates with the backend over a REST API.

You want to follow Google-recommended practices. How should you design the backend?

A.       Create an instance template for the backend. For every region, deploy it on a multi-zone managed instancegroup. Use an L4 load balancer.

B.       Create an instance template for the backend. For every region, deploy it on a single-zone managed instancegroup. Use an L4 load balancer.

C.      Create an instance template for the backend. For every region, deploy it on a multi-zone managed instancegroup. Use an L7 load balancer.

D.      Create an instance template for the backend. For every region, deploy it on a single-zone managed instancegroup. Use an L7 load balancer.

Correct Answer: C

Section: (none)

QUESTION 168

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.

Your agricultural division is experimenting with fully autonomous vehicles. You want your architecture to promote strongsecurity during vehicle operation.

Which two architectures should you consider? (Choose two.)

A.       Treat every micro service call between modules on the vehicle as untrusted.

B.       Require IPv6 for connectivity to ensure a secure address space.

C.      Use a trusted platform module (TPM) and verify firmware and binaries on boot.

D.      Use a functional programming language to isolate code execution cycles.

E.       Use multiple connectivity subsystems for redundancy.

F.       Enclose the vehicle's drive electronics in a Faraday cage to isolate chips.

Correct Answer: AC

Section: (none)

QUESTION 169

Case Study: 6 - TerramEarth

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.

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 and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data intheir 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.

Support the dealer network with more data on how their customers use their equipment to better position newproducts and services

Have the ability to partner with different companies in the fast-growing agricultural business customers.

Technical Requirements

Expand beyond a single datacenter to decrease latency to the American Midwest and east coast.

Create a backup strategy.

Increase security of data transfer from equipment to the datacenter. Improvedata in the data warehouse.

Use customer and equipment data to anticipate customer needs. Application 1:Data ingest

A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse. Compute:

Windows Server 2008 R2

-  16 CPUs

-  128 GB of RAM

-  10 TB local HDD storage

Application 2: Reporting

An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.

Compute:

Off the shelf application. License tied to number of physical CPUs

-  Windows Server 2008 R2

-  16 CPUs

-  32 GB of RAM

-  500 GB HDD

Data warehouse:

A single PostgreSQL server

-  RedHat Linux

-  64 CPUs

-  128 GB of RAM

-  4x 6TB HDD in RAID 0

Executive Statement

Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower 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. My goals are tobuild our skills while addressing immediate market needs through incremental innovations.

For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an automated daily basis whilemanaging cost.

What should you do?

A.       Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a CloudDataflow pipeline.

B.       Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Functionfrom a Compute Engine instance.

C.      Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the resultto a new table.

D.      Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.

Correct Answer: D

Section: (none)

QUESTION 170

Case Study: 6 - TerramEarth

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.

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 upgradedin 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 ofabout 9 TB/day from these connected vehicles.

Existing Technical Environment

TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data intheir 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.

Support the dealer network with more data on how their customers use their equipment to better position newproducts and services

Have the ability to partner with different companies in the fast-growing agricultural business customers.

Technical Requirements

Expand beyond a single datacenter to decrease latency to the American Midwest and east coast.

Create a backup strategy.

Increase security of data transfer from equipment to the datacenter. Improvedata in the data warehouse.

Use customer and equipment data to anticipate customer needs.

Application 1: Data ingest

A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse. Compute:

Windows Server 2008 R2

-  16 CPUs

-  128 GB of RAM

-  10 TB local HDD storage

Application 2: Reporting

An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.

Compute:

Off the shelf application. License tied to number of physical CPUs

-  Windows Server 2008 R2

-  16 CPUs

-  32 GB of RAM

-  500 GB HDD

Data warehouse:

A single PostgreSQL server

-  RedHat Linux

-  64 CPUs

-  128 GB of RAM

-  4x 6TB HDD in RAID 0

Executive Statement

Our competitive advantage has always been in the manufacturing process, with our ability to build better

vehicles for lower 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. Mygoals are to build our skills while addressing immediate market needs through incremental innovations.

For this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reducethe unplanned vehicle downtime in GCP?

A.       Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery usingCloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.

B.       Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.

C.      Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a MultiRegional Cloud Storage bucket.Upload this data into BigQuery using gcloud. Use Google data Studio for analysis and reporting.

D.      Use Cloud Dataproc Hive as the data warehouse. Directly stream data into prtitioned Hive tables. Use Pigscripts to analyze data.

Correct Answer: A

Section: (none)

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QUESTION 171

Case Study: 6 - TerramEarth

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.

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 upgradedin the field with new computing modules.

Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. Ata rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9TB/day from these connected vehicles.

Existing Technical Environment

TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data intheir 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.

Support the dealer network with more data on how their customers use their equipment to better position newproducts and services

Have the ability to partner with different companies in the fast-growing agricultural business customers.

Technical Requirements

Expand beyond a single datacenter to decrease latency to the American Midwest and east

coast.

Create a backup strategy.

Increase security of data transfer from equipment to the datacenter. Improvedata in the data warehouse.

Use customer and equipment data to anticipate customer needs.

Application 1: Data ingest

A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse. Compute:

Windows Server 2008 R2

-  16 CPUs

-  128 GB of RAM

-  10 TB local HDD storage

Application 2: Reporting

An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.

Compute:

Off the shelf application. License tied to number of physical CPUs

-  Windows Server 2008 R2

-  16 CPUs

-  32 GB of RAM

-  500 GB HDD

Data warehouse:

A single PostgreSQL server

-  RedHat Linux

-  64 CPUs

-  128 GB of RAM

-  4x 6TB HDD in RAID 0

Executive Statement

Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower 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. My goals are tobuild our skills while addressing immediate market needs through incremental innovations.

For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommendedpractices.

Considering the technical requirements, which components should you use for the ingestion of the data?

A.       Google Kubernetes Engine with an SSL Ingress

B.       Cloud IoT Core with public/private key pairs

C.      Compute Engine with project-wide SSH keys

D.      Compute Engine with specific SSH keys

Correct Answer: B

Section: (none)

QUESTION 172

Case Study: 4 - Dress4Win

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.

Dress4Win has end-to-end tests covering 100% of their endpoints.

They want to ensure that the move to the cloud does not introduce any new bugs. Whichadditional testing 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 173

Case Study: 4 - Dress4Win

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.

You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least10 years.

Cost optimization is your top priority.

Which cloud 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 174

Case Study: 4 - Dress4Win

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.

The current Dress4win system architecture has high latency to some customers because it is located in one datacenter.

As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute its systemarchitecture to multiple locations when Google cloud platform.

Which approach should they use?

A.       Use regional managed instance groups and a global load balancer to increase performance because theregional managed instance group can grow instances in each region separately based on traffic.

B.       Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtualmachines managed by your operations team.

C.      Use regional managed instance groups and a global load balancer to increase reliability by providing automaticfailover between zones in different regions.

D.      Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtualmachines as part of a separate managed instance groups.

Correct Answer: D

Section: (none)

QUESTION 175

Case Study: 5 - Dress4win

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 withdesigners and retailers. They monetize their services through advertising, e-commerce,

referrals, and a freemium app model. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the ation's rapid growth. Because of this growth and the company's desire to innovate faster.

applic

Dress4Win is committing to a full migration to a public cloud.

Solution Concept

For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not surewhich components of their architecture they can migrate as is and which components they need to change beforemigrating them.

Existing Technical Environment

The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04. Databases:

MySQL. 1 server for user data, inventory, static data:

-  MySQL 5.8

-  8 core CPUs

-  128 GB of RAM

-  2x 5 TB HDD (RAID 1)

Redis 3 server cluster for metadata, social graph, caching. Each server is:

-  Redis 3.2

-  4 core CPUs

-  32GB of RAM

Compute:

40 Web Application servers providing micro-services based APIs and static content.

-  Tomcat - Java

-  Nginx

-  4 core CPUs

-  32 GB of RAM

20 Apache Hadoop/Spark servers:

-  Data analysis

-  Real-time trending calculations

-  8 core CPUS

-  128 GB of RAM

-  4x 5 TB HDD (RAID 1)

3 RabbitMQ servers for messaging, social notifications, and events:

-  8 core CPUs

-  32GB of RAM

Miscellaneous servers:

-  Jenkins, monitoring, bastion hosts, security scanners

-  8 core CPUs

-  32GB of RAM

Storage appliances:

iSCSI for VM hosts Fiber channelSAN

-  1 PB total storage; 400 TB available

NAS

-  100 TB total storage; 35 TB available BusinessRequirements

Build a reliable and reproducible environment with scaled parity of production.

Improve security by defining and adhering 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 andoptimize architecture for performance in the cloud.

Technical Requirements

Easily create non-production environment in the cloud.

Implement an automation framework for provisioning resources in cloud.

Implement a continuous deployment process for deploying applications to the on-premises datacenter orcloud.

Support failover of the production environment to cloud during an emergency. Encrypt dataon the wire and at rest.

Support multiple private connections between the production data center and cloud environment.

Executive Statement

Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle. 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 nexthardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.

For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.

What should you do?

A.       Use Stackdriver Trace to create a trace list analysis.

B.       Use Stackdriver Monitoring to create a dashboard on the project's activity.

C.      Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.

D.      Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.

Correct Answer: D

Section: (none)

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QUESTION 176

Case Study: 5 - Dress4win

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. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for theapplication's rapid growth. Because of this growth and the

company's desire to innovate faster. Dress4Win is committing to a full migration to a public cloud.

Solution Concept

For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not surewhich components of their architecture they can migrate as is and which components they need to change beforemigrating them.

Existing Technical Environment

The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04. Databases:

MySQL. 1 server for user data, inventory, static data:

-  MySQL 5.8

-  8 core CPUs

-  128 GB of RAM

-  2x 5 TB HDD (RAID 1)

Redis 3 server cluster for metadata, social graph, caching. Each server is:

-  Redis 3.2

-  4 core CPUs

-  32GB of RAM

Compute:

40 Web Application servers providing micro-services based APIs and static content.

-  Tomcat - Java

-  Nginx

-  4 core CPUs

-  32 GB of RAM

20 Apache Hadoop/Spark servers:

-  Data analysis

-  Real-time trending calculations

-  8 core CPUS

-  128 GB of RAM

-  4x 5 TB HDD (RAID 1)

3 RabbitMQ servers for messaging, social notifications, and events:

-  8 core CPUs

-  32GB of RAM

Miscellaneous servers:

-  Jenkins, monitoring, bastion hosts, security scanners

-  8 core CPUs

-  32GB of RAM

Storage appliances:

iSCSI for VM hosts Fiber channelSAN

-  1 PB total storage; 400 TB available NAS

-  100 TB total storage; 35 TB available BusinessRequirements

Build a reliable and reproducible environment with scaled parity of production. Improve securityby defining and adhering 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 andoptimize architecture for performance in the cloud.

Technical Requirements

Easily create non-production environment in the cloud.

Implement an automation framework for provisioning resources in cloud.

Implement a continuous deployment process for deploying applications to the on-premises datacenter orcloud.

Support failover of the production environment to cloud during an emergency. Encrypt dataon the wire and at rest.

Support multiple private connections between the production data center and cloud environment.

Executive Statement

Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle. 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 nexthardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.

For this question, refer to the Dress4Win case study. You are responsible for the security of data stored in Cloud Storage for your company, Dress4Win. You have already created a set of Google Groups and assigned theappropriate users to those groups. You should use Google best practices and implement the simplest design to meetthe requirements.

Considering Dress4Win's business and technical requirements, what should you do?

A.       Assign custom IAM roles to the Google Groups you created in order to enforce security requirements. Encryptdata with a customer-supplied encryption key when storing files in Cloud Storage.

B.       Assign custom IAM roles to the Google Groups you created in order to enforce security requirements. Enabledefault storage encryption before storing files in Cloud Storage.

C.      Assign predefined IAM roles to the Google Groups you created in order to enforce securityrequirements. Utilize Google's default encryption at rest when storing files in Cloud Storage.

D.      Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements.Ensure that the default Cloud KMS key is set before storing files in Cloud Storage.

Correct Answer: D

Section: (none)

QUESTION 177

Case Study: 5 - Dress4win

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. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for theapplication's rapid growth. Because of this growth and the

company's desire to innovate faster. Dress4Win is committing to a full migration to a public cloud.

Solution Concept

For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not surewhich components of their architecture they can migrate as is and which components they need to change beforemigrating them.

Existing Technical Environment

The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04. Databases:

MySQL. 1 server for user data, inventory, static data:

-  MySQL 5.8

-  8 core CPUs

-  128 GB of RAM

-  2x 5 TB HDD (RAID 1)

Redis 3 server cluster for metadata, social graph, caching. Each server is:

-  Redis 3.2

-  4 core CPUs

-  32GB of RAM

Compute:

40 Web Application servers providing micro-services based APIs and static content.

-  Tomcat - Java

-  Nginx

-  4 core CPUs

-  32 GB of RAM

20 Apache Hadoop/Spark servers:

-  Data analysis

-  Real-time trending calculations

-  8 core CPUS

-  128 GB of RAM

-  4x 5 TB HDD (RAID 1)

3 RabbitMQ servers for messaging, social notifications, and events:

-  8 core CPUs

-  32GB of RAM

Miscellaneous servers:

-  Jenkins, monitoring, bastion hosts, security scanners

-  8 core CPUs

-  32GB of RAM

Storage appliances:

iSCSI for VM hosts Fiber channelSAN

-  1 PB total storage; 400 TB available NAS

-  100 TB total storage; 35 TB available

Business Requirements

Build a reliable and reproducible environment with scaled parity of production.

Improve security by defining and adhering 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 andoptimize architecture for performance in the cloud.

Technical Requirements

Easily create non-production environment in the cloud.

Implement an automation framework for provisioning resources in cloud.

Implement a continuous deployment process for deploying applications to the on-premises datacenter orcloud.

Support failover of the production environment to cloud during an emergency. Encrypt dataon the wire and at rest.

Support multiple private connections between the production data center and cloud environment.

Executive Statement

Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle. 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 nexthardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.

For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.

What change in the on-premises architecture should you make?

A.       Replace RabbitMQ with Google Pub/Sub.

B.       Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.

C.      Resize compute resources to match predefined Compute Engine machine types.

D.      Containerize the micro services and host them in Google Kubernetes Engine.

Correct Answer: B

Section: (none)

 QUESTION 178

You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible nodepool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still inPending status:

What is the most likely cause?

A.       The pending Pod's resource requests are too large to fit on a single node of the cluster.

B.       Too many Pods are already running in the cluster, and there are not enough resources left to schedule

the pending Pod.

C.      The node pool is configured with a service account that does not have permission to pull the container imageused by the pending Pod.

D.      The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.

Correct Answer: B

Section: (none)

QUESTION 179

You want to find out when users were added to Cloud Spanner Identity Access Management (IAM) roles on yourGoogle Cloud Platform (GCP) project. What should you do in the GCP Console?

A.       Open the Cloud Spanner console to review configurations.

B.       Open the IAM & admin console to review IAM policies for Cloud Spanner roles.

C.      Go to the Stackdriver Monitoring console and review information for Cloud Spanner.

D.      Go to the Stackdriver Logging console, review admin activity logs, and filter them for Cloud Spanner IAM roles.

Correct Answer: D

Section: (none)

QUESTION 180

Your company implemented BigQuery as an enterprise data warehouse. Users from multiple business units run queries on this data warehouse. However, you notice that query costs for BigQuery are very high, and you need to controlcosts. Which two methods should you use? (Choose two.)

A.       Split the users from business units to multiple projects.

B.       Apply a user- or project-level custom query quota for BigQuery data warehouse.

C.      Create separate copies of your BigQuery data warehouse for each business unit.

D.      Split your BigQuery data warehouse into multiple data warehouses for each business unit.

E.       Change your BigQuery query model from on-demand to flat rate. Apply the appropriate number of slots to eachProject.

Correct Answer: BE

Section: (none)

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