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Free PROFESSIONAL CLOUD DEVOPS ENGINEER Exam Braindumps
Professional Cloud DevOps Engineer Questions 57–64 (page: 9)

Updated On: 4-Jun-2026
Page 9 of 31
PDF with 239 Questions

You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?

  1. Roll back the recent release.
  2. Review the Cloud Monitoring dashboard.
  3. Upsize the virtual machines running the login services.
  4. Deploy a new release to see whether it fixes the problem.

Answer(s): A



You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

  1. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
  2. Inject the secret at the time of instance creation via an encrypted configuration management system.
  3. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application.
  4. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.

Answer(s): A



You encounter a large number of outages in the production systems you support. You receive alerts for all the outages, the alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering (SRE) practices.
What should you do?

  1. Eliminate alerts that are not actionable
  2. Redefine the related SLO so that the error budget is not exhausted
  3. Distribute the alerts to engineers in different time zones
  4. Create an incident report for each of the alerts

Answer(s): A



You have migrated an e-commerce application to Google Cloud. You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?

  1. Load test the application to profile its performance for scaling.
  2. Enable AutoScaling on the production clusters, in case there is growth.
  3. Pre-provision double the compute power used last season, expecting growth.
  4. Create a runbook on inflating the disaster recovery (DR) environment if there is growth.

Answer(s): A



You support a web application that runs on App Engine and uses Cloud SQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a large increase in latency for all user requests, in CPU use, and in the number of processes that run the application. Initial troubleshooting reveals:

After the initial spike in traffic, load levels returned to normal, but users still experienced high latency.



Requests for content from the Cloud SQL database and images from Cloud Storage show the same high



latency.
No changes were made to the website around the time that the latency increased.



The number of errors to the users did not increase.



You expect another spike in website traffic soon and want to ensure that users do not experience latency. You need to limit the amount of engineering effort. What should you do?

  1. Upgrade the Cloud Storage buckets to multi-regional.
  2. Enable high availability on the Cloud SQL instances.
  3. Move the application from App Engine to Compute Engine.
  4. Modify the App Engine configuration to provide additional idle instances.

Answer(s): D



Your application runs on Google Cloud. You need to implement Jenkins for deploying application releases to Google Cloud. You want to streamline the release process, lower operational toil, and keep user data secure.
What should you do?

  1. Implement Jenkins on local workstations.
  2. Implement Jenkins on Kubernetes on-premises.
  3. Implement Jenkins on Cloud Functions.
  4. Implement Jenkins on Compute Engine virtual machines.

Answer(s): D


Reference:

https://plugins.jenkins.io/google-compute-engine/



You are working with a government agency that requires you to archive application logs for seven years. You need to configure Cloud Monitoring to export and store the logs while minimizing costs of storage. What should you do?

  1. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
  2. Develop an App Engine application that pulls the logs from Cloud Logging and saves them in BigQuery.
  3. Create an export in Cloud Monitoring and configure Pub/Sub to store logs in permanent storage for seven years.
  4. Create a sink in Cloud Logging, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.

Answer(s): D


Reference:

https://jayendrapatil.com/google-cloud-logging/



You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Cloud Error Reporting. What should you do?

  1. Install the Cloud Error Reporting library for Python, and then run your code on a Compute Engine VM.
  2. Install the Cloud Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
  3. Install the Cloud Error Reporting library for Python, and then run your code on App Engine flexible environment.
  4. Use the Cloud Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Cloud Logging.

Answer(s): D


Reference:

https://cloud.google.com/error-reporting/docs/setup/app-engine-flexible-environment



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