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Exam Code:
Professional-Cloud-DevOps-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Apr 25, 2025
173 Questions Answers with Explanation Detail
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Exam Code:
Professional-Cloud-DevOps-Engineer
Total Questions:
173 Q&A's
Single Choice Questions:
157 Q&A's
Multiple Choice Questions:
16 Q&A's

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Google Professional-Cloud-DevOps-Engineer Exam Dumps FAQs

The Google Professional-Cloud-DevOps-Engineer Exam is a certification exam that assesses your ability to implement processes throughout the systems development lifecycle using Google-recommended methodologies and tools. It evaluates your skills in building and deploying software and infrastructure delivery pipelines, optimizing and maintaining production systems and services, and balancing service reliability with delivery speed.

The Google Professional-Cloud-DevOps-Engineer exam is ideal for IT professionals with experience in:

  • DevOps practices and principles
  • Cloud computing, preferably Google Cloud Platform (GCP)
  • Software development and infrastructure management
  • Site Reliability Engineering (SRE) concepts

The Google Professional-Cloud-DevOps-Engineer exam focuses on your ability to:

  • Bootstrap a GCP organization for DevOps: Configure IAM, quotas, billing, and resource management.
  • Build and implement CI/CD pipelines: Utilize Cloud Build, Cloud Functions, and Cloud Deployment Manager.
  • Apply SRE practices to a service: Design for high availability, scalability, and observability using tools like Cloud Monitoring and Cloud Logging.
  • Implement service monitoring strategies: Define metrics, alerts, and dashboards to ensure service health.
  • Optimize and maintain production systems: Leverage autoscaling, managed services, and cost optimization techniques.
The Google Professional-Cloud-DevOps-Engineer Exam consists of 50-60 multiple choice and multiple select questions.
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Questions 1

You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

Options:

A.

Purchase Committed Use Discounts.

B.

Migrate the instances to a Managed Instance Group.

C.

Convert the instances to preemptible virtual machines.

D.

Create an Unmanaged Instance Group for the instances used to run the workload.

Questions 2

You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below

Professional-Cloud-DevOps-Engineer Question 2

The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?

Options:

A.

Update the Deployment app-blue to use the new version of the application

B.

Update the Deployment ape-green to use the previous version of the application

C.

Change the selector on the Service app-2vc to app: my-app.

D.

Change the selector on the Service app-svc to app: my-app, version: blue

Questions 3

You are building an application that runs on Cloud Run The application needs to access a third-party API by using an API key You need to determine a secure way to store and use the API key in your application by following Google-recommended practices What should you do?

Options:

A.

Save the API key in Secret Manager as a secret Reference the secret as an environment variable in the Cloud Run application

B.

Save the API key in Secret Manager as a secret key Mount the secret key under the /sys/api_key directory and decrypt the key in the Cloud Run application

C.

Save the API key in Cloud Key Management Service (Cloud KMS) as a key Reference the key as an environment variable in the Cloud Run application

D.

Encrypt the API key by using Cloud Key Management Service (Cloud KMS) and pass the key to Cloud Run as an environment variable Decrypt and use the key in Cloud Run

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