Google Professional-Cloud-DevOps-Engineer Exam : Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Exam Code: Professional-Cloud-DevOps-Engineer
Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Updated: Sep 16, 2026
Q & A: 208 Questions and Answers

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About Google Professional-Cloud-DevOps-Engineer Exam

Who should take the Google Professional Cloud DevOps Engineer exam

Individuals should pursue the Professional Cloud DevOps Engineer practice exam if they want to demonstrate their expertise and ability to design plan, and prototype a GCP DevOps, implement a GCP Virtual Private Cloud (VPC), implement DevOps security. It's perfect for DevOps engineers, systems administrators or operations team members, or simply any professional who wants in on this specific area of IT and cloud.

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

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The Google Professional Cloud DevOps Engineer certification is designed to equip the specialists with the expertise required to perform the following technical tasks: applying the principles of site reliability engineering to services, optimizing service performance, implementing the strategies for service monitoring, building and implementing CI/CD pipelines for services, as well as managing service incidents. To get the certificate, the candidates need to complete a single exam covering a wide range of knowledge and skills.

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

Section	Weight	Objectives
CI/CD Pipeline Development	26%	- CI/CD best practices 1. Managing secrets in CI/CD pipelines 2. Configuring quality gates and code coverage 3. Implementing shift-left testing - Containerization and Docker 1. Creating optimized Docker images (multi-stage builds) 2. Implementing container security best practices 3. Managing container registries - Designing and implementing CI/CD pipelines 1. Implementing build automation scripts 2. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 3. Configuring build caching strategies 4. Configuring build triggers and webhooks 5. Setting up artifact management with Artifact Registry
Microservices Architecture	14%	- Service mesh and networking 1. Configuring traffic management and load balancing 2. Implementing service-to-service authentication 3. Implementing Anthos Service Mesh / Istio - API management 1. Exposing APIs with Cloud Endpoints / Apigee 2. Implementing API versioning strategies - Container orchestration with GKE 1. Implementing workload deployment and scaling 2. Designing Kubernetes cluster architectures 3. Configuring node pools and auto-scaling 4. Managing pod lifecycle and resource quotas
Reliability and Site Reliability Engineering (SRE)	24%	- Monitoring and observability 1. Implementing distributed tracing with Cloud Trace 2. Configuring Cloud Monitoring and Logging 3. Setting up alerting policies and incident management 4. Creating dashboards for service health visibility - SLOs, SLIs, and SLAs 1. Defining and implementing Service Level Objectives 2. Error budget policies and management 3. Creating and interpreting Service Level Indicators 4. Setting appropriate Service Level Agreements - Incident management 1. Configuring automated incident response 2. Implementing on-call procedures 3. Post-incident reviews and blameless postmortems
Monitoring, Logging, and Debugging	12%	- Debugging and troubleshooting 1. Debugging with Cloud Trace distributed tracing 2. Using Cloud Debugger and Error Reporting 3. Analyzing performance profiles with Cloud Profiler - Log management 1. Structuring logs for efficient querying 2. Implementing log-based metrics 3. Configuring log retention policies - Cloud Operations Suite 1. Creating uptime checks and alerts 2. Implementing Cloud Logging with log sinks 3. Configuring Cloud Monitoring metrics
Cloud Infrastructure Automation	24%	- Deployment strategies 1. Blue-green deployments 2. Rolling updates with Kubernetes 3. Canary releases and progressive rollouts 4. Feature flags with Firebase Remote Config or LaunchDarkly - Infrastructure as Code (IaC) 1. Implementing immutable infrastructure patterns 2. Implementing with Terraform 3. Managing infrastructure modules and state - Configuration management 1. Managing secrets with Secret Manager 2. Using Ansible for configuration management 3. Implementing configuration drift detection

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