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Professional-Cloud-DevOps-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Question 1

You are deploying a Cloud Build job that deploys Terraform code when a Git branch is updated. While testing, you noticed that the job fails. You see the following error in the build logs:

Initializing the backend. ..

Error: Failed to get existing workspaces : querying Cloud Storage failed: googleapi : Error

403

You need to resolve the issue by following Google-recommended practices. What should you do?

Options:

A.

Change the Terraform code to use local state.

B.

Create a storage bucket with the name specified in the Terraform configuration.

C.

Grant the roles/ owner Identity and Access Management (IAM) role to the Cloud Build service account on the project.

D.

Grant the roles/ storage. objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.

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Question 2

You are managing an MLOps platform on a Google Kubernetes Engine (GKE) cluster that serves two teams:

    The Research team runs hundreds of small, daily experiments that can run as capacity allows and are highly cost-sensitive.

    The Production team must retrain the company's main language model every Friday at 10:00 PM. This job is business-critical, cannot be interrupted, and must start on time.

You need to configure the modes for Dynamic Workload Scheduler to meet each team's requirements. What should you do?

Options:

A.

Use Flex Start mode for both the Research and Production teams.

B.

Use Flex Start mode for the Research team and Calendar mode for the Production team.

C.

Use Calendar mode for both the Research and Production teams.

D.

Use Calendar mode for the Research team and Flex Start mode for the Production team.

Question 3

You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

Options:

A.

Compare the canary with a new deployment of the current production version.

B.

Compare the canary with a new deployment of the previous production version.

C.

Compare the canary with the existing deployment of the current production version.

D.

Compare the canary with the average performance of a sliding window of previous production versions.