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Free PROFESSIONAL-CLOUD-DEVOPS-ENGINEER – Google PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Practice Test Question

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Showing 16–18 of 22 questions

Question 16 (Topic 1)

You are designing a deployment technique for your applications on Google Cloud. As part of your deployment planning, you want to use live traffic to gather performance metrics for new versions of your applications. You need to test against the full production load before your applications are launched. What should you do?

Select an option, then click Submit answer.

  • ○ Use A/B testing with blue/green deployment.
  • ○ Use canary testing with continuous deployment.
  • ○ Use canary testing with rolling updates deployment.
  • ○ Use shadow testing with continuous deployment.
Question 17 (Topic 1)

Your company runs an ecommerce business. The application responsible for payment processing has structured JSON logging with the following schema: Capture and access of logs from the payment processing application is mandatory for operations, but the jsonPayload.user_email field contains personally identifiable information (PII). Your security team does not want the entire engineering team to have access to PII. You need to stop exposing PII to the engineering team and restrict access to security team members only. What should you do?

Select an option, then click Submit answer.

  • ○ Apply the conditional role binding resource.name.extract("locations/global/buckets/{bucket}/") == "_Default" to the _Default bucket.
  • ○ Apply a jsonPayload.user_email restricted field to the _Default bucket. Grant the Log Field Accessor role to the security team members.
  • ○ Apply a jsonPayload.user_email exclusion filter to the _Default bucket.
  • ○ Modify the application to toggle inclusion of user_email when the LOG_USER_EMAIL environment variable is set to true. Restrict the engineering team members who can change the production environment variable by using the CODEOWNERS file.
Question 18 (Topic 1)

Your company has an application deployed on Google Kubernetes Engine (GKE) consisting of 12 microservices. Multiple teams are working concurrently on various features across three envi-ronments: Dev, Staging, and Prod. Developers report dependency test failures and delayed re-leases due to deployments from multiple feature branches in the shared Dev GKE cluster. You need to implement a cost-effective solution for developers to test their microservice features in a stable development environment isolated from other development activities. What should you do?

Select an option, then click Submit answer.

  • ○ Automate CI pipelines by using Cloud Build for container image creation and Kubernetes manifest updates from main branch merge requests. Integrate with Config Sync to test new im-ages in dynamically created namespaces on the Dev GKE cluster with autoscaling enabled. Im-plement a post-test namespace cleanup routine.
  • ○ Automate CI pipelines by using Cloud Build to create container images and update Kuber-netes manifests for each commit. Use Cloud Deploy for progressive delivery to Dev, Staging, and Prod GKE clusters. Enable Config Sync for consistent Kubernetes configurations across en-vironments.
  • ○ Use Cloud Build to automate CI pipelines and update Kubernetes manifest files from feature branch commits. Integrate with Config Sync to test new images in dynamically created namespaces on the Dev GKE cluster with autoscaling enabled. Implement a post-test namespace cleanup routine.
  • ○ Use Cloud Build to automate CI pipelines and update Kubernetes manifest files from feature branch commits. Integrate with Config Sync to test new images in dynamically created GKE Dev clusters for each feature branch, which are deleted upon merge request.