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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

Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

Options:

A.

Configure the build system with protected branches that require pull request approval.

B.

Use an Admission Controller to verify that incoming requests originate from approved sources.

C.

Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

D.

Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.

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Question 2

You have an application that runs on Cloud Run. You want to use live production traffic to test a new version of the application while you let the quality assurance team perform manual testing. You want to limit the potential impact of any issues while testing the new version, and you must be able to roll back to a previous version of the application if needed. How should you deploy the new version?

Choose 2 answers

Options:

A.

Deploy the application as a new Cloud Run service.

B.

Deploy a new Cloud Run revision with a tag and use the —no-traffic option.

C.

Deploy a new Cloud Run revision without a tag and use the —no-traffic option.

D.

Deploy the new application version and use the —no-traffic option Route production traffic to the revision's URL.

E.

Deploy the new application version and split traffic to the new version.

Question 3

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.