ACE practice questions 131–140

1. Question 131 · 325 in bank

   You are planning to migrate the following on-premises data management solutions to Google Cloud: • One MySQL cluster for your main database • Apache Kafka for your event streaming platform • One Cloud SQL for PostgreSQL database for your analytical and reporting needs You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management. What should you do?

   • AMigrate from MySQL to Cloud SQL, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.
   • BMigrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.
   • CMigrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.
   • DMigrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.

   Show answer

   Answer: B

   Explanation

   For event streaming -> Cloud Pub/Sub is a good choice. https://cloud.google.com/pubsub/docs/overview Database for analytics and reporting -> BigQuery is a good choice. https://cloud.google.com/bigquery/docs/introduction For MySQL, we have two options Cloud SQL or Cloud Spanner. Cloud SQL has MySQL flavored database, while Cloud Spanner provide Google Standard SQL (aka GoogleSQL) which supports standard SQL queries. In addition, the question is asking about "global scalability and require minimal operational and infrastructure management", where Cloud Spanner wins a score. Hence, B is the correct answer. https://cloud.google.com/spanner https://cloud.google.com/spanner/docs/create-query-database-console#create-instance https://cloud.google.com/spanner/docs/create-query-database-console#create-database

   Source: Adapted from community discussion — scanner2

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

   Next question

2. Question 132 · 325 in bank

   You significantly changed a complex Deployment Manager template and want to confirm that the dependencies of all defined resources are properly met before committing it to the project. You want the most rapid feedback on your changes. What should you do?

   • AUse granular logging statements within a Deployment Manager template authored in Python.
   • BMonitor activity of the Deployment Manager execution on the Stackdriver Logging page of the GCP Console.
   • CExecute the Deployment Manager template against a separate project with the same configuration, and monitor for failures.
   • DExecute the Deployment Manager template using the ג€"-preview option in the same project, and observe the state of interdependent resources.

   Show answer

   Answer: D

   Explanation

   Answer D is the most appropriate choice for getting rapid feedback on changes to a Deployment Manager template. The preview command in Deployment Manager creates a preview deployment of the resources defined in the configuration, without actually creating or modifying any resources. This allows you to quickly test and validate changes to the template before committing them to the project. During the preview, you can observe the state of interdependent resources and ensure that their dependencies are properly met. This provides rapid feedback on your changes, without actually creating any resources or incurring any costs.

   Source: Adapted from community discussion — Buruguduystunstugudunstuy

   References

   • Google Cloud documentation
   • Google Cloud documentation

   Next question

3. Question 133 · 325 in bank

   During a recent audit of your existing Google Cloud resources, you discovered several users with email addresses outside of your Google Workspace domain. You want to ensure that your resources are only shared with users whose email addresses match your domain. You need to remove any mismatched users, and you want to avoid having to audit your resources to identify mismatched users. What should you do?

   • ACreate a Cloud Scheduler task to regularly scan your projects and delete mismatched users.
   • BCreate a Cloud Scheduler task to regularly scan your resources and delete mismatched users.
   • CSet an organizational policy constraint to limit identities by domain to automatically remove mismatched users.
   • DSet an organizational policy constraint to limit identities by domain, and then retroactively remove the existing mismatched users

   Show answer

   Answer: D

   Explanation

   Its D. "The domain restriction constraint is not retroactive. Once a domain restriction is set, this limitation will apply to IAM policy changes made from that point forward, and not to any previous changes.". Link: https://cloud.google.com/resource-manager/docs/organization-policy/restricting-domains

   Source: Adapted from community discussion — joao_01

   References

   • Google Cloud documentation
   • Google Cloud documentation

   Next question

4. Question 134 · 325 in bank

   Your application is running on Google Cloud in a managed instance group (MIG). You see errors in Cloud Logging for one VM that one of the processes is not responsive. You want to replace this VM in the MIG quickly. What should you do?

   • AUse the gcloud compute instances update command with a REFRESH action for the VM.
   • BUse the gcloud compute instance-groups managed recreate-instances command to recreate the VM.
   • CSelect the MIG from the Compute Engine console and, in the menu, select Replace VMs.
   • DUpdate and apply the instance template of the MIG.

   Show answer

   Answer: B

   References

   • Google Cloud documentation
   • Google Cloud documentation

   Next question

5. Question 135 · 325 in bank

   You want to permanently delete a Pub/Sub topic managed by Config Connector in your Google Cloud project. What should you do?

   • AUse kubectl to create the label deleted-by-cnrm and to change its value to true for the topic resource.
   • BUse kubectl to delete the topic resource.
   • CUse gcloud CLI to delete the topic.
   • DUse gcloud CLI to update the topic label managed-by-cnrm to false.

   Show answer

   Answer: B

   Explanation

   B is the right answer, if the resource is managed by the config connector you can just use the kubectl to use detele or update the topic resource

   Source: Adapted from community discussion — Captain1212

   References

   • Google Cloud documentation

   Next question

6. Question 136 · 325 in bank

   Your company is using Google Workspace to manage employee accounts. Anticipated growth will increase the number of personnel from 100 employees to 1,000 employees within 2 years. Most employees will need access to your company’s Google Cloud account. The systems and processes will need to support 10x growth without performance degradation, unnecessary complexity, or security issues. What should you do?

   • AMigrate the users to Active Directory. Connect the Human Resources system to Active Directory. Turn on Google Cloud Directory Sync (GCDS) for Cloud Identity. Turn on Identity Federation from Cloud Identity to Active Directory.
   • BOrganize the users in Cloud Identity into groups. Enforce multi-factor authentication in Cloud Identity.
   • CTurn on identity federation between Cloud Identity and Google Workspace. Enforce multi-factor authentication for domain wide delegation.
   • DUse a third-party identity provider service through federation. Synchronize the users from Google Workplace to the third-party provider in real time.

   Show answer

   Answer: B

   Explanation

   Why would you need to federate the identities for Cloud ID and Workspace accounts? It's the same thing! I have a dev gcp org doing exactly this...

   Source: Adapted from community discussion — 0verK0alafied

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

   Next question

7. Question 137 · 325 in bank

   You want to host your video encoding software on Compute Engine. Your user base is growing rapidly, and users need to be able to encode their videos at any time without interruption or CPU limitations. You must ensure that your encoding solution is highly available, and you want to follow Google-recommended practices to automate operations. What should you do?

   • ADeploy your solution on multiple standalone Compute Engine instances, and increase the number of existing instances when CPU utilization on Cloud Monitoring reaches a certain threshold.
   • BDeploy your solution on multiple standalone Compute Engine instances, and replace existing instances with high-CPU instances when CPU utilization on Cloud Monitoring reaches a certain threshold.
   • CDeploy your solution to an instance group, and increase the number of available instances whenever you see high CPU utilization in Cloud Monitoring.
   • DDeploy your solution to an instance group, and set the autoscaling based on CPU utilization.

   Show answer

   Answer: D

   Explanation

   The answer is D. You can create a managed instance group with autoscaling enabled based on CPU utilization. This way appropriate number of instances can be added or removed based on the CPU metrics. https://cloud.google.com/compute/docs/instance-groups/create-mig-with-basic-autoscaling https://cloud.google.com/sdk/gcloud/reference/compute/instance-groups/managed/set-autoscaling

   Source: Adapted from community discussion — scanner2

   References

   • Google Cloud documentation
   • Google Cloud documentation

   Next question

8. Question 138 · 325 in bank

   Your managed instance group raised an alert stating that new instance creation has failed to create new instances. You need to solve the instance creation problem. What should you do?

   • ACreate an instance template that contains valid syntax which will be used by the instance group. Delete any persistent disks with the same name as instance names.
   • BCreate an instance template that contains valid syntax that will be used by the instance group. Verify that the instance name and persistent disk name values are not the same in the template.
   • CVerify that the instance template being used by the instance group contains valid syntax. Delete any persistent disks with the same name as instance names. Set the disks.autoDelete property to true in the instance template.
   • DDelete the current instance template and replace it with a new instance template. Verify that the instance name and persistent disk name values are not the same in the template. Set the disks.autoDelete property to true in the instance template.

   Show answer

   Answer: A

   Explanation

   C is eliminated because you cannot update or modify an existing instance template. It is immutable. https://cloud.google.com/compute/docs/instance-templates#how_to_update_instance_templates D is eliminated because you cannot delete an instance template if a managed instance group references it. https://cloud.google.com/compute/docs/instance-templates/get-list-delete-instance-templates#delete_an_instance_template B is eliminated because you cannot set different/custom name for persistent disk in an instance template. https://cloud.google.com/sdk/gcloud/reference/compute/instance-templates/create#--create-disk So we left with A. Therefore A is the correct answer. Although, it should set the disks.autoDelete property to true for completeness.

   Source: Adapted from community discussion — scanner2

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

   Next question

9. Question 139 · 325 in bank

   You are using Looker Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Looker Studio are broken, and you want to analyze the problem. What should you do?

   • AIn Cloud Logging, create a filter for your Looker Studio report.
   • BUse the open source CLI tool, Snapshot Debugger, to find out why the data was not refreshed correctly.
   • CReview the Error Reporting page in the Google Cloud console to find any errors.
   • DUse the BigQuery interface to review the nightly job and look for any errors.

   Show answer

   Answer: D

   Explanation

   This question appear before. I would go with D, altough the question before had opinions between the Cloud Logging and Bigquery options. Despite this i think that D is most appropriate for this case.

   Source: Adapted from community discussion — joao_01

   Next question

10. Question 140 · 325 in bank

    You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

    

    • ACloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
    • BFirebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
    • CCloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
    • DCloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery

    Show answer

    Answer: D

    Explanation

    Without a doubt D. Whenever we want to process timeseries data look for BigTable. Also you want to perform analystics in Box 4 ..look for BigQuery Only D provides this option.

    Source: Adapted from community discussion — cloudenthu01

    References

    • Google Cloud documentation
    • Google Cloud documentation

    Next question

Keyboard:J Kmove between questionsA–Dselect an answerRshow or hide the answer← →change page

ACE practice, question 131. 325 questions available.