Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Exam Code:

Professional-Cloud-DevOps-Engineer

Exam Name:

Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Certification:

Cloud DevOps Engineer

Vendor:

Google

Questions:

194

Last Updated:

Jul 12, 2025

Exam Status:

Stable

Professional-Cloud-DevOps-Engineer: Cloud DevOps Engineer Exam 2025 Study Guide Pdf and Test Engine

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Question 1

You are designing a system with three different environments: development, quality assurance (QA), and production.

Each environment will be deployed with Terraform and has a Google Kubemetes Engine (GKE) cluster created so that application teams can deploy their applications. Anthos Config Management will be used and templated to deploy

infrastructure level resources in each GKE cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both Infrastructure as Code (laC) and application code?

Options:

Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: differentoverlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features

Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated:different branches are different environmentsApplication (app source code) repositories are separated: different branches are different features

Cloud Infrastructure (Terraform) repository is shared: different branches are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: differentoverlay directories are different environmentsApplication (app source code) repository is shared: different directories are different features

Cloud Infrastructure (Terraform) repositories are separated: different branches are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated:different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features

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Answer:

Explanation:

The correct answer is B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environments. GKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated: different branches are different environments. Application (app source code) repositories are separated: different branches are different features.

This answer follows the best practices for using Terraform and Anthos Config Management with GitOps, as described in the following sources:

For Terraform, it is recommended to use a single repository for all environments, and use directories to separate them. This way, you can reuse the same Terraform modules and configurations across environments, and avoid code duplication and drift.You can also use Terraform workspaces to isolate the state files for each environment12.

For Anthos Config Management, it is recommended to use separate repositories for each environment, and use branches to separate the clusters within each environment. This way, you can enforce different policies and configurations for each environment, and use pull requests to promote changes across environments.You can also use Kustomize to create overlays for each cluster that apply specific patches or customizations34.

For application code, it is recommended to use separate repositories for each application, and use branches to separate the features or bug fixes for each application. This way, you can isolate the development and testing of each application, and use pull requests to merge changes into the main branch.You can also use tags or labels to trigger deployments to different environments5.

[References:, 1:Best practices for using Terraform | Google Cloud, 2: Terraform Recommended Practices - Part 1 | Terraform - HashiCorp Learn, 3:Deploy Anthos on GKE with Terraform part 1: GitOps with Config Sync | Google Cloud Blog, 4: Using Kustomize with Anthos Config Management | Anthos Config Management Documentation | Google Cloud, 5: Deploy Anthos on GKE with Terraform part 3: Continuous Delivery with Cloud Build | Google Cloud Blog, : GitOps-style continuous delivery with Cloud Build | Cloud Build Documentation | Google Cloud, , , , , ]

Question 2

You support a service that recently had an outage. The outage was caused by a new release that exhausted the service memory resources. You rolled back the release successfully to mitigate the impact on users. You are now in charge of the post-mortem for the outage. You want to follow Site Reliability Engineering practices when developing the post-mortem. What should you do?

Options:

Focus on developing new features rather than avoiding the outages from recurring.

Focus on identifying the contributing causes of the incident rather than the individual responsible for the cause.

Plan individual meetings with all the engineers involved. Determine who approved and pushed the new release to production.

Use the Git history to find the related code commit. Prevent the engineer who made that commit from working on production services.

Question 3

You use Cloud Build to build and deploy your application. You want to securely incorporate database credentials and other application secrets into the build pipeline. You also want to minimize the development effort. What should you do?

Options:

Create a Cloud Storage bucket and use the built-in encryption at rest. Store the secrets in the bucket and grant Cloud Build access to the bucket.

Encrypt the secrets and store them in the application repository. Store a decryption key in a separate repository and grant Cloud Build access to the repository.

Use client-side encryption to encrypt the secrets and store them in a Cloud Storage bucket. Store a decryption key in the bucket and grant Cloud Build access to the bucket.

Use Cloud Key Management Service (Cloud KMS) to encrypt the secrets and include them in your Cloud Build deployment configuration. Grant Cloud Build access to the KeyRing.

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Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Professional-Cloud-DevOps-Engineer: Cloud DevOps Engineer Exam 2025 Study Guide Pdf and Test Engine

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