Google Professional-Cloud-DevOps-Engineer Exam Details & Actual Exam Questions

  • Exam Code/Number: Professional-Cloud-DevOps-Engineer
  • Exam Name/Title: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
  • Certification Provider: Google
  • Corresponding Certification: Cloud DevOps Engineer
  • Exam Questions: 208
  • Updated On: Oct,04 2026
  • Certification Level: Professional

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions

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Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:Professional-Cloud-DevOps-Engineer
Passing Score:70%
Available Languages:English, Japanese, Portuguese, Spanish
Exam Format:Multiple Choice, Multiple Select
Exam Price:$200 USD
Exam Duration:120 minutes
Real Exam Qty:50
Certificate Validity Period:2 years
Related Certifications:Google Cloud Professional Cloud Developer
Google Cloud Professional Cloud Architect
Google Cloud Associate Cloud Engineer
Sample Questions:Google Professional-Cloud-DevOps-Engineer Sample Questions
Exam Way:Online proctored exam available through Pearson VUE or online proctoring. In-person testing at Kryterion test centers also available.
Pre Condition:Recommended: Associate Cloud Engineer certification and 3+ years industry experience including 1+ years Google Cloud experience. No mandatory prerequisites required.
Official Syllabus URL:https://cloud.google.com/certification/cloud-devops-engineer

Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: CI/CD Pipeline Development26%- Designing and implementing CI/CD pipelines
  • 1. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
  • 2. Configuring build caching strategies
  • 3. Configuring build triggers and webhooks
  • 4. Implementing build automation scripts
  • 5. Setting up artifact management with Artifact Registry
- Containerization and Docker
  • 1. Creating optimized Docker images (multi-stage builds)
  • 2. Implementing container security best practices
  • 3. Managing container registries
- CI/CD best practices
  • 1. Configuring quality gates and code coverage
  • 2. Managing secrets in CI/CD pipelines
  • 3. Implementing shift-left testing
Topic 2: Microservices Architecture14%- API management
  • 1. Implementing API versioning strategies
  • 2. Exposing APIs with Cloud Endpoints / Apigee
- Container orchestration with GKE
  • 1. Managing pod lifecycle and resource quotas
  • 2. Implementing workload deployment and scaling
  • 3. Designing Kubernetes cluster architectures
  • 4. Configuring node pools and auto-scaling
- Service mesh and networking
  • 1. Configuring traffic management and load balancing
  • 2. Implementing service-to-service authentication
  • 3. Implementing Anthos Service Mesh / Istio
Topic 3: Reliability and Site Reliability Engineering (SRE)24%- Incident management
  • 1. Post-incident reviews and blameless postmortems
  • 2. Configuring automated incident response
  • 3. Implementing on-call procedures
- SLOs, SLIs, and SLAs
  • 1. Error budget policies and management
  • 2. Setting appropriate Service Level Agreements
  • 3. Defining and implementing Service Level Objectives
  • 4. Creating and interpreting Service Level Indicators
- Monitoring and observability
  • 1. Implementing distributed tracing with Cloud Trace
  • 2. Setting up alerting policies and incident management
  • 3. Configuring Cloud Monitoring and Logging
  • 4. Creating dashboards for service health visibility
Topic 4: Monitoring, Logging, and Debugging12%- Cloud Operations Suite
  • 1. Configuring Cloud Monitoring metrics
  • 2. Implementing Cloud Logging with log sinks
  • 3. Creating uptime checks and alerts
- Log management
  • 1. Configuring log retention policies
  • 2. Implementing log-based metrics
  • 3. Structuring logs for efficient querying
- Debugging and troubleshooting
  • 1. Debugging with Cloud Trace distributed tracing
  • 2. Analyzing performance profiles with Cloud Profiler
  • 3. Using Cloud Debugger and Error Reporting
Topic 5: Cloud Infrastructure Automation24%- Configuration management
  • 1. Using Ansible for configuration management
  • 2. Implementing configuration drift detection
  • 3. Managing secrets with Secret Manager
- Deployment strategies
  • 1. Feature flags with Firebase Remote Config or LaunchDarkly
  • 2. Rolling updates with Kubernetes
  • 3. Blue-green deployments
  • 4. Canary releases and progressive rollouts
- Infrastructure as Code (IaC)
  • 1. Implementing immutable infrastructure patterns
  • 2. Managing infrastructure modules and state
  • 3. Implementing with Terraform


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