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Professional-Cloud-Architect Google Certified Professional - Cloud Architect (GCP) Question and Answers

Question # 4

For this question, refer to the Cymbal Retail case study. Cymbal wants you to design a cloud-first data storage infrastructure for the product catalog modernization project. You want to ensure efficient data access and high availability for Cymbals web application and virtual agents while minimizing operational costs. What should you do?

A.

Use AlloyDB for structured product data, and Cloud Storage for product images

B.

Use Spanner for the structured product data, and BigTable for product images

C.

Use Filestore for the structured product data and Cloud Storage for product images

D.

Use Cloud Storage for structured product data, and BigQuery for product images

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Question # 5

For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

A.

Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.

B.

Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.

C.

Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.

D.

Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.

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Question # 6

For this question, refer to the Cymbal Retail case study. Cymbal has a centralized project that supports large video files for Vertex Al model training. Standard storage costs have suddenly increased this month, and you need to determine why. What should you do?

A.

Investigate if the project owner disabled a soft-delete policy on the bucket holding the video files.

B.

Investigate if the project owner moved from dual-region storage to region storage

C.

Investigate If the project owner enabled a soft-delete policy on the bucket holding the video files.

D.

Investigate if the project owner moved from multi-region storage to region stotage.

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Question # 7

For this question, refer to the Cymbal Retail case study. Cymbal wants to migrate its diverse database environment to Google Cloud while ensuring high availability and performance for online customers. The company also wants to efficiently store and access large product images These images typically stay In the catalog for more than 90 days and are accessed less and less frequently. You need to select the appropriate Google Cloud services for each database. You also need to design a storage solution for the product images that optimizes cost and performance What should you do?

A.

Migrate all databases to Spanner for consistency, and use Cloud Storage Standard for image storage

B.

Migrate all databases to self-managed instances on Compute Engino. and use a persistent disk for image storage.

C.

Migrate MySQL and SQL Server to Spanner. Redis to Memorystore. and MongoDB to Firestore Use Cloud Storage Standard for image storage, and move

images to Cloud Storage Nearline storage when products become less popular.

D.

Migrate MySQL to Cloud SQL. SQL Server to Cloud SQL. Redis to Memorystore. and MongoDB to Firestore. Use Cloud Storage Standard for image storage, and move images to Cloud Storage Coldline storage when products become less popular

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Question # 8

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-recommended practices.

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

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Question # 9

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.

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Question # 10

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

A.

Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud 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 Pig scripts to analyze data.

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Question # 11

For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as –is and would still be an optimized architecture for performance in the cloud?

A.

Web applications deployed using App Engine standard environment

B.

RabbitMQ deployed using an unmanaged instance group

C.

Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

D.

Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types

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Question # 12

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 the appropriate users to those groups. You should use Google best practices and implement the simplest design to meet the 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.

Encrypt data 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.

Enable default storage encryption before storing files in Cloud Storage.

C.

Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements.

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.

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Question # 13

Mountkirk Games wants you to secure the connectivity from the new gaming application platform to Google

Cloud. You want to streamline the process and follow Google-recommended practices. What should you do?

A.

Configure Workload Identity and service accounts to be used by the application platform.

B.

Use Kubernetes Secrets, which are obfuscated by default. Configure these Secrets to be used by the

application platform.

C.

Configure Kubernetes Secrets to store the secret, enable Application-Layer Secrets Encryption, and use

Cloud Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to

be used by the application platform.

D.

Configure HashiCorp Vault on Compute Engine, and use customer managed encryption keys and Cloud

Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to be used

by the application platform.

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Question # 14

Your development team has created a mobile game app. You want to test the new mobile app on Android and

iOS devices with a variety of configurations. You need to ensure that testing is efficient and cost-effective. What

should you do?

A.

Upload your mobile app to the Firebase Test Lab, and test the mobile app on Android and iOS devices.

B.

Create Android and iOS VMs on Google Cloud, install the mobile app on the VMs, and test the mobile app.

C.

Create Android and iOS containers on Google Kubernetes Engine (GKE), install the mobile app on the

containers, and test the mobile app.

D.

Upload your mobile app with different configurations to Firebase Hosting and test each configuration.

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Question # 15

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 each other ' 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 from staging 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.

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Question # 16

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 Google technologies 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

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Question # 17

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 set of 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 Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer

D.

Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

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Question # 18

For this question, refer to the Mountkirk Games case study.

Mountkirk Games has deployed their new backend on Google 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 should you 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.

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Question # 19

For this question, refer to the Mountkirk Games case study.

Mountkirk Games ' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response 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.

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Question # 20

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 their current 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.

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Question # 21

For this question, refer to the Dress4Win case study.

The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage 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 an operations engineer needs to perform a task.

D.

Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

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Question # 22

Refer to the Altostrat Media case study for the following solution.

Altostrat is concerned about sophisticated, multi-vector Distributed Denial of Service (DDoS) attacks targeting various layers of their infrastructure. DDoS attacks could potentially disrupt video streaming and cause financial losses. You need to mitigate this risk. What should you do?

A.

Set up VPC Service Controls to restrict access to sensitive resources and prevent data exfiltration.

B.

Configure Cloud Next Generation Firewall (NGFW) with custom rules to filter malicious traffic at the network level.

C.

Deploy Google Cloud Armor with pre-configured and custom rules for L3/L4 and L7 protection.

D.

Activate Security Command Center to monitor security posture and detect potential threats.

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Question # 23

Refer to the Altostrat Media case study for the following solutions regarding cost optimization for batch processing and microservices testing strategies.

Altostrat is experiencing fluctuating computational demands for its batch processing jobs. These jobs are not time-critical and can tolerate occasional interruptions. You want to optimize cloud costs and address batch processing needs. What should you do?

A.

Configure reserved VM instances

B.

Deploy spot VM instances.

C.

Set up standard VM instances.

D.

Use Cloud Run functions.

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Question # 24

Refer to the Altostrat Media case study for the following solution regarding the performance analysis of their media processing pipeline.

Altostrat needs to analyze the performance of its media processing pipeline running on Java-based Cloud Run function. You need to select the most effective tool for the task. What should you do?

A.

Query logs in Cloud Logging.

B.

Analyze the data via Cloud Profiler.

C.

Instrument the code to use Cloud Trace.

D.

Inspect data from Snapshot Debugger.

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Question # 25

Refer to the Altostrat Media case study for the following solution regarding API management and cost control.

Altostrat is using Apigee for API management and wants to ensure their APIs are protected from overuse and abuse. You need to implement an Apigee feature to control the total number of API calls for cost management. What should you do?

A.

Set up API key validation.

B.

Integrate OAuth 2.0 authorization.

C.

Configure Quota policies.

D.

Activate XML threat protection.

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Question # 26

Altostrat ' s development team is using a microservices architecture for their application. You need to select the most suitable testing approach to ensure that individual microservices function correctly in isolation. What should you do?

A.

Run unit testing.

B.

Use load testing.

C.

Perform end-to-end testing.

D.

Execute integration testing.

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Question # 27

Altostrat stores a large library of media content, including sensitive interviews and documentaries, in Cloud Storage. They are concerned about the confidentiality of this content and want to protect it from unauthorized access. You need to implement a Google-recommended solution that is easy to integrate and provides Altostrat with control and auditability of the encryption keys. What should you do?

A.

Configure Cloud Storage to use server-side encryption with Google-managed encryption keys. Create a bucket policy to restrict access to only authorized Google groups and required service accounts.

B.

Use Cloud Storage default encryption at rest. Implement fine-grained access control using IAM roles and groups to restrict access to sensitive buckets.

C.

Implement client-side encryption before uploading it to Cloud Storage. Store the encryption keys in a HashiCorp Vault instance deployed on Google Kubernetes Engine (GKE). Implement fine-grained access control to sensitive Cloud Storage buckets using IAM roles.

D.

Use customer-managed encryption keys (CMEK) for all Cloud Storage buckets storing sensitive media content. Implement fine-grained access control using IAM roles and groups to restrict access to sensitive buckets.

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Question # 28

For this question, refer to the TerramEarth case study.

To speed up data retrieval, more vehicles will be upgraded to cellular 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 the ETL 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 asia using 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 asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.

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Question # 29

For this question refer to the TerramEarth case study

Operational parameters such as oil pressure are adjustable on each 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 you accomplish this goal?

A.

Have your engineers inspect the data for patterns, and then create an algorithm with rules that make operational adjustments automatically.

B.

Capture all operating data, train machine learning models that identify ideal operations, and run locally to make operational adjustments automatically.

C.

Implement a Google Cloud Dataflow streaming job with a sliding window, and use Google Cloud Messaging (GCM) to make operational adjustments automatically.

D.

Capture all operating data, train machine learning models that identify ideal operations, and host in Google Cloud Machine Learning (ML) Platform to make operational adjustments automatically.

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Question # 30

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 to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this 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.

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Question # 31

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 you design 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).

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Question # 32

For this question refer to the TerramEarth case study.

Which of TerramEarth ' s legacy enterprise processes will experience 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

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Question # 33

Your agricultural division is experimenting with fully autonomous vehicles.

You want your architecture to promote strong security during vehicle operation.

Which two architecture should you consider?

Choose 2 answers:

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.

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Question # 34

For this question, refer to the TerramEarth case study

You analyzed TerramEarth ' s business requirement to reduce downtime, 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 ' s processes should you recommend?

A.

Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.

B.

Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.

C.

Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.

D.

Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

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Question # 35

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 to store 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 Google BigQuery.

C.

Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.

D.

Have the vehicle ' s computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.

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Question # 36

For this question, refer to the EHR Healthcare case study. EHR has single Dedicated Interconnect

connection between their primary data center and Googles network. This connection satisfies

EHR’s network and security policies:

• On-premises servers without public IP addresses need to connect to cloud resources

without public IP addresses

• Traffic flows from production network mgmt. servers to Compute Engine virtual

machines should never traverse the public internet.

You need to upgrade the EHR connection to comply with their requirements. The new

connection design must support business critical needs and meet the same network and

security policy requirements. What should you do?

A.

Add a new Dedicated Interconnect connection

B.

Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G

C.

Add three new Cloud VPN connections

D.

Add a new Carrier Peering connection

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Question # 37

For this question, refer to the Dress4Win case study.

Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying some applications quickly, as is. They have asked for your recommendation. What should you advise?

A.

Identify self-contained applications with external dependencies as a first move to the cloud.

B.

Identify enterprise applications with internal dependencies and recommend these as a first move to the cloud.

C.

Suggest moving their in-house databases to the cloud and continue serving requests to on-premise applications.

D.

Recommend moving their message queuing servers to the cloud and continue handling requests to on-premise applications.

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Question # 38

For this question, refer to the Dress4Win case study.

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. Which additional 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 working as intended.

D.

They should add canary tests so developers can measure how much of an impact the new release causes to latency.

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Question # 39

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 cloud environment, and load into a new MySQL cluster.

B.

Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronous replication 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 cloud MySQL 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 Cloud Datastore, and configure applications to read/write to Cloud Datastore at cutover.

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Question # 40

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

data center.

As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it ' s system

architecture 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 the

regional 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

virtual machines managed by your operations team.

C.

Use regional managed instance groups and a global load balancer to increase reliability by providing

automatic failover 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

virtual machines as part of a separate managed instance groups.

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Question # 41

For this question, refer to the Dress4Win case study.

Dress4Win has asked you to recommend machine types they should 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 the cloud.

B.

Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.

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 to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.

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Question # 42

For this question, refer to the Dress4Win case study.

You want to ensure Dress4Win ' s sales and tax records remain available for infrequent viewing by auditors for at least 10 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 instance group to access the data.

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Question # 43

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction

accuracy from their ML prediction models. They want you to use Google’s AI Platform so HRL can understand

and interpret the predictions. What should you do?

A.

Use Explainable AI.

B.

Use Vision AI.

C.

Use Google Cloud’s operations suite.

D.

Use Jupyter Notebooks.

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Question # 44

For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud

infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video

encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted

after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you

do?

A.

Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for

analysis.

B.

Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.

C.

Use the gcloud recommender command to list the idle virtual machine instances.

D.

From the Google Console, identify which Compute Engine instances in the managed instance groups are

no longer responding to health check probes.

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Question # 45

For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

A.

Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.

B.

Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.

C.

Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.

D.

Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.

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Question # 46

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.

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Question # 47

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.

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Question # 48

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform’s resilience to changes in mobile network latency. What should you do?

A.

Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.

B.

Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.

C.

Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.

D.

Create an opt-in beta of the game that runs on players ' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.

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Question # 49

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?

A.

Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.

B.

Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.

C.

Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.

D.

Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.

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Question # 50

For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk’s technical requirement for storing game activity in a time series database service?

A.

Cloud Bigtable

B.

Cloud Spanner

C.

BigQuery

D.

Cloud Datastore

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Question # 51

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.

Which two steps should be part of their migration plan? (Choose two.)

A.

Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.

B.

Write a schema migration plan to denormalize data for better performance in BigQuery.

C.

Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.

D.

Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.

E.

Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.

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Question # 52

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)

A.

Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.

B.

Begin packaging their game backend artifacts in container images and running them on Kubernetes Engine to improve the availability to scale up or down based on game activity.

C.

Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.

D.

Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.

E.

Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.

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Question # 53

For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. 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 instance group. Use an L4 load balancer.

B.

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

C.

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

D.

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

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Question # 54

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

A.

Create network load balancers. Use preemptible Compute Engine instances.

B.

Create network load balancers. Use non-preemptible Compute Engine instances.

C.

Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.

D.

Create a global load balancer with managed instance groups and autoscaling policies. Use non-preemptible Compute Engine instances.

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Question # 55

For this question, refer to the Cymbal Retail case study. Cymbal wants to migrate their product catalog management processes to Google Cloud. You need to ensure a smooth migration with proper change management to minimize disruption and risks to the business. You want to follow Google-recommended practices to automate product catalog enrichment, improve product discoverability, increase customer engagement, and minimize costs. What should you do?

A.

Design a migration plan to move all of Cymbal ' s data to Cloud Storage, and use Compute Engine for all business logic

B.

Design a migration plan to move all of Cymbal ' s data to Cloud Storage, and use Cloud Run functions for all business logic

C.

Design a migration plan, starting with a pilot project focusing on a specific product category, and gradually expand to other categories.

D.

Design a migration plan with a scheduled window to move all components at once Perform extensive testing to ensure a successful migration.

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Question # 56

You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

A.

Use a persistent disk for each instance.

B.

Use a regional persistent disk for each instance.

C.

Create a Cloud Filestore instance and mount it in each instance.

D.

Create a Cloud Storage bucket and mount it in each instance using gcsfuse.

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Question # 57

For this question, refer to the JencoMart case study.

JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?

A.

Cloud Spanner

B.

Google BigQuery

C.

Google Cloud SQL

D.

Google Cloud Datastore

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Question # 58

For this question, refer to the JencoMart case study

A few days after JencoMart migrates the user credentials database 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 take to 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, and investigate.

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Question # 59

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, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy 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) managed keys for the VMs

D.

Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.

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Question # 60

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 between production 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. Each account 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 one with 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/staging environment and one project for the production environment.

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Question # 61

For this question, refer to the JencoMart case study.

JencoMart has built a version of their application on Google Cloud 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

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Question # 62

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

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