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Updated: Sep 05, 2026

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Exam Details

The qualifying test for the Google Professional Cloud DevOps Engineer certification has the duration of 2 hours. The candidates will be asked to answer around 50 multiple-select and multiple-choice questions. The exam is available in the English language only. The students can take it either as an online proctored test or an onsite proctored exam at an authorized testing center. You can check the location of the nearest center in your region using the search on the official webpage. Each learner is required to pay the registration fee of $200 to schedule the exam.

If you don’t manage to pass the exam on the first try, you can retake it after 14 days. If you don't complete it for the second time, you will be required to wait for 60 days before you can sit for it for the third time. If you fail the third attempt, you will have to wait for 1 year before taking the test again.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

Domains Tested in Final Evaluation

The candidates who succeed in passing the Google Professional Cloud DevOps Engineer validation will add an international designation under their belt that helps them consolidate their position in the company and receive generous offers from their employers. So, if applicants want to differentiate themselves from other colleagues, they should demonstrate the following skills:

  • Identifying the most effective principles related to site reliability engineering and applying them to a definite service;
  • Implementing and building CI/CD service pipelines;
  • Identifying issues related to service performance and implementing solutions to optimize it;
  • Coordinating teams to identify and manage incidents related to service development.
  • Checking and implementing strategies related to service monitoring;

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
Real Exam Qty:50
Related Certifications:Google Cloud Associate Cloud Engineer
Google Cloud Professional Cloud Architect
Google Cloud Professional Cloud Developer
Certificate Validity Period:2 years
Available Languages:English, Japanese, Portuguese, Spanish
Exam Format:Multiple Select, Multiple Choice
Exam Price:$200 USD
Passing Score:70%
Exam Duration:120 minutes
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
Monitoring, Logging, and Debugging12%- Debugging and troubleshooting
  • 1. Using Cloud Debugger and Error Reporting
  • 2. Analyzing performance profiles with Cloud Profiler
  • 3. Debugging with Cloud Trace distributed tracing
- Cloud Operations Suite
  • 1. Creating uptime checks and alerts
  • 2. Implementing Cloud Logging with log sinks
  • 3. Configuring Cloud Monitoring metrics
- Log management
  • 1. Implementing log-based metrics
  • 2. Configuring log retention policies
  • 3. Structuring logs for efficient querying
Reliability and Site Reliability Engineering (SRE)24%- Incident management
  • 1. Configuring automated incident response
  • 2. Post-incident reviews and blameless postmortems
  • 3. Implementing on-call procedures
- Monitoring and observability
  • 1. Configuring Cloud Monitoring and Logging
  • 2. Creating dashboards for service health visibility
  • 3. Setting up alerting policies and incident management
  • 4. Implementing distributed tracing with Cloud Trace
- 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
Microservices Architecture14%- Service mesh and networking
  • 1. Implementing Anthos Service Mesh / Istio
  • 2. Implementing service-to-service authentication
  • 3. Configuring traffic management and load balancing
- API management
  • 1. Implementing API versioning strategies
  • 2. Exposing APIs with Cloud Endpoints / Apigee
- Container orchestration with GKE
  • 1. Designing Kubernetes cluster architectures
  • 2. Managing pod lifecycle and resource quotas
  • 3. Configuring node pools and auto-scaling
  • 4. Implementing workload deployment and scaling
Cloud Infrastructure Automation24%- Deployment strategies
  • 1. Canary releases and progressive rollouts
  • 2. Feature flags with Firebase Remote Config or LaunchDarkly
  • 3. Blue-green deployments
  • 4. Rolling updates with Kubernetes
- Infrastructure as Code (IaC)
  • 1. Managing infrastructure modules and state
  • 2. Implementing with Terraform
  • 3. Implementing immutable infrastructure patterns
- Configuration management
  • 1. Implementing configuration drift detection
  • 2. Managing secrets with Secret Manager
  • 3. Using Ansible for configuration management
CI/CD Pipeline Development26%- Designing and implementing CI/CD pipelines
  • 1. Setting up artifact management with Artifact Registry
  • 2. Implementing build automation scripts
  • 3. Configuring build caching strategies
  • 4. Configuring build triggers and webhooks
  • 5. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
- Containerization and Docker
  • 1. Implementing container security best practices
  • 2. Managing container registries
  • 3. Creating optimized Docker images (multi-stage builds)
- CI/CD best practices
  • 1. Managing secrets in CI/CD pipelines
  • 2. Implementing shift-left testing
  • 3. Configuring quality gates and code coverage

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