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Google Professional-Cloud-DevOps-Engineer Practice Test Questions Answers

Exam Code: Professional-Cloud-DevOps-Engineer (Updated 194 Q&As with Explanation)
 Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
 Last Update: 30-Aug-2025
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Questions Include:

  • Single Choice: 177 Q&A's
  • Multiple Choice: 17 Q&A's

    • Professional-Cloud-DevOps-Engineer Overview

    Google Professional-Cloud-DevOps-Engineer Exam Overview

    Overview Description
    Certification Google Professional Cloud DevOps Engineer
    Exam Code GCP
    Delivery Platform Online proctored exam
    Prerequisites Experience with Google Cloud Platform and DevOps methodologies (recommended)
    Exam Duration 2 hours
    Number of Questions 50-60 Multiple Choice and Multiple Select
    Passing Score Not publicly disclosed, but generally around 70%

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    Google Professional-Cloud-DevOps-Engineer Exam Topics Breakdown

     

    Exam Section Percentage of Questions Description
    Bootstrapping a Google Cloud organization for DevOps 17% Designing the overall resource hierarchy, implementing IAM and security best practices, and configuring billing and monitoring.
    Building and implementing CI/CD pipelines for a service 23% Selecting appropriate CI/CD tools (Cloud Build, Cloud Functions), designing effective pipelines, and integrating with source control and testing tools.
    Applying site reliability engineering practices to a service 23% Implementing monitoring, logging, alerting strategies, and incident response best practices to ensure service reliability.
    Implementing service monitoring strategies 21% Using Cloud Monitoring, Logs Explorer, and other tools to gain insights into service health and performance.
    Optimizing the service performance 16% Scaling resources, identifying performance bottlenecks, and implementing techniques for continuous performance optimization.

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    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

    There are no particular requisites for taking this exam. Only the exam candidates should have required knowledge on the content of the Google Professional-Cloud-DevOps-Engineer exam syllabus. They should also develop their hand-on exposure on the all topics.

    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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    Professional-Cloud-DevOps-Engineer Questions and Answers

    Question # 1

    You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?

    Choose 2 answers

    A.

    Create a trigger to notify the required team to complete the next step when manual intervention is required

    B.

    Divide the automation steps into smaller tasks

    C.

    Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy

    D.

    Add more engineers to finish the manual steps.

    E.

    Automate promotion approvals from the development environment to the test environment

    Question # 2

    You are creating a CI/CD pipeline to perform Terraform deployments of Google Cloud resources Your CI/CD tooling is running in Google Kubernetes Engine (GKE) and uses an ephemeral Pod for each pipeline run You must ensure that the pipelines that run in the Pods have the appropriate Identity and Access Management (1AM) permissions to perform the Terraform deployments You want to follow Google-recommended practices for identity management What should you do?

    Choose 2 answers

    A.

    Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account

    B.

    Create a new JSON service account key for the Google service account store the key as a Kubernetes secret, inject the key into the Pods, and set the boogle_application_credentials environment variable

    C.

    Create a new Google service account, and assign the appropriate 1AM permissions

    D.

    Create a new JSON service account key for the Google service account store the key in the secret management store for the CI/CD tool and configure Terraform to use this key for authentication

    E.

    Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods

    Question # 3

    Your company has a Google Cloud resource hierarchy with folders for production test and development Your cyber security team needs to review your company's Google Cloud security posture to accelerate security issue identification and resolution You need to centralize the logs generated by Google Cloud services from all projects only inside your production folder to allow for alerting and near-real time analysis. What should you do?

    A.

    Enable the Workflows API and route all the logs to Cloud Logging

    B.

    Create a central Cloud Monitoring workspace and attach all related projects

    C.

    Create an aggregated log sink associated with the production folder that uses a Pub Sub topic as the destination

    D.

    Create an aggregated log sink associated with the production folder that uses a Cloud Logging bucket as the destination

    Question # 4

    Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?

    A.

    Reference the image digest in the source control tag.

    B.

    Supply the source control tag as a parameter within the image name.

    C.

    Use Cloud Build to include the release version tag in the application image.

    D.

    Use GCR digest versioning to match the image to the tag in source control.

    Question # 5

    You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

    You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

    A.

    Decrease the acknowledgment deadline on the subscription

    B.

    Add a virtual queue to the online store that allows typical traffic levels

    C.

    Increase the number of Pod replicas

    D.

    Increase the Pod CPU and memory limits

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