PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Real Exam Questions
Google Cloud Certified - Professional Cloud DevOps Engineer Exam. Everything you need to prepare, practice, and pass.
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4
Exam Domains
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Certification Overview
This exam tests your ability to architect and implement reliable, cost-effective production systems on Google Cloud using SRE principles, Kubernetes (GKE), and automated CI/CD pipelines. Core areas include monitoring and alerting strategies to detect and respond to incidents, managing service quality through error budgets and SLOs, and optimizing resource utilization and costs across cloud infrastructure.
What This Certification Proves
This professional-level certification validates expertise in implementing DevOps practices and Site Reliability Engineering (SRE) principles on Google Cloud, including CI/CD pipeline automation, service monitoring, and cost optimization. It demonstrates the ability to design and manage production systems at scale using Google Cloud's managed services and demonstrates leadership-ready cloud engineering skills.
Who Should Take This Exam
Cloud engineers with 2+ years of hands-on Google Cloud experience looking to specialize in DevOps; DevOps engineers transitioning to or deepening expertise in Google Cloud; SREs and infrastructure engineers responsible for CI/CD, monitoring, and incident response; senior individual contributors preparing for cloud architecture or leadership roles.
Topic Breakdown
4 domains covering 142 questions
| Domain | Questions | Weight |
|---|---|---|
| Building And Implementing Ci/Cd Pipelines For A Service | 62 | 44% |
| Implementing Service Monitoring Strategies | 47 | 33% |
| Managing A Service Incident | 21 | 15% |
| Implementing And Managing Cost Controls | 12 | 8% |
Study Plans
Choose a study plan that matches your schedule and experience level
30 Days
Intensive Sprint
Week 1-2
- Master fundamentals: Building And Implementing Ci/Cd Pipelines For A Service
- Read Google official documentation
- Complete 8 questions daily
Week 3
- Deep dive: Implementing Service Monitoring Strategies
- Review weak areas from results
- Take 2 full-length exams
Week 4
- Review all flagged questions
- Timed exams to build stamina
- Final revision of key concepts
60 Days
Balanced Approach
Week 1-2
- Survey all exam domains
- Set up study environment
- Begin with foundational topics
Week 3-4
- Focus: Building And Implementing Ci/Cd Pipelines For A Service
- Focus: Implementing Service Monitoring Strategies
- 4 questions daily
Week 5-6
- Focus: Managing A Service Incident
- Hands-on labs if applicable
- Review explanations for wrong answers
Week 7-8
- Complete all 213 questions
- Identify and eliminate weak areas
- Take 3 full-length timed tests
90 Days
Comprehensive Study
Month 1
- Learn all exam domains at a comfortable pace
- Build strong foundational knowledge
- 3 questions daily
Month 2
- Deep dive into each domain
- Hands-on practice and labs
- Take weekly timed exams
Month 3
- Work through all 213 questions
- Identify and eliminate weak areas
- Take 3 full-length timed exams
PROFESSIONAL-CLOUD-DEVOPS-ENGINEER-Specific Tips
- Master GKE deep-dive: deployment strategies, autoscaling, multi-cluster architectures, and workload identity—this is heavily weighted across domains
- Focus on CI/CD pipeline design: Cloud Build workflows, artifact management, deployment patterns, and integration with GKE—practice building end-to-end pipelines
- Build hands-on lab experience with Cloud Logging and Cloud Monitoring: custom metrics, alerting policies, log aggregation, and SLO/SLI definition using actual GCP tools
- Study SRE principles in context: error budgets, service level indicators/objectives, blameless postmortems, and how to apply them to Google Cloud deployments
- Practice incident management scenarios: detection, escalation, remediation, and postmortem processes specific to cloud-native services and microservices architectures
- Learn cost optimization strategies: committed use discounts, resource rightsizing, GKE cost optimization, and cost monitoring in multi-team environments
- Review IAM best practices for DevOps: least privilege service accounts, workload identity, organizational policies, and audit logging for compliance and security
Relevant Career Roles
Sample Questions
Try 5 free questions from the PROFESSIONAL-CLOUD-DEVOPS-ENGINEER question bank
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu- west-1 region. Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services. One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours. Your development team is working on a solution, but the issue will not be resolved for a month. You need to ensure continued operations until the microservice is fixed. You want to follow Google-recommended practices and use the fewest number of steps. What should you do?
You have deployed a fleet of Compute Engine instances in Google Cloud. You need to ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring by your company's operations and cyber security teams. You need to grant the required roles for the Compute Engine service account by using Identity and Access Management (IAM) while following the principle of least privilege. What should you do?
You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?
Your team deploys applications to three Google Kubernetes Engine (GKE) environments: development, staging, and production. You use GitHub repositories as your source of truth. You need to ensure that the three environments are consistent. You want to follow Google- recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments. What should you do?
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