This guide covers the essential topics for the Google Professional Cloud DevOps Engineer certification, including CI/CD pipelines, service monitoring, incident management, service performance optimization, and GCP DevOps bootstrapping.
This guide works best as a loop: read a chapter, test yourself with practice questions, look up unfamiliar terms in the glossary, then move to the next chapter.
17 chapters covering every exam objective. Each chapter includes key concepts, exam tips, common traps, comparison tables, and a 5-question quiz at the end.
Start Chapter 1Free timed and untimed practice with instant feedback and full explanations. Pick 10–120 questions per session. Filter by domain to drill your weak areas.
Go to practice testEvery PCDOEterm defined and searchable. Use it when a chapter mentions a concept you haven't seen before or want a quick refresher on.
Browse glossaryExam blueprint, domain weights, passing score, duration, cost, and registration links. Start here if you're new to this certification.
View exam guideIntroduction to DevOps and Google Cloud Platform
Objective 1.1 · Understand the principles of DevOps and the role of Google Cloud in enabling DevOps practices.
Setting Up GCP Projects and Identity Access Management
Objective 5.1 · Design and implement GCP project structure, service accounts, and IAM roles for DevOps tooling.
Infrastructure as Code with Cloud Deployment Manager and Terraform
Objective 5.2 · Provision and manage infrastructure using Infrastructure as Code (IaC) tools like Deployment Manager and Terraform.
Source Control Management and Cloud Source Repositories
Objective 1.2 · Set up and manage source code repositories with Cloud Source Repositories and integrate with Git workflows.
Building CI Pipelines with Cloud Build
Objective 1.3 · Design and implement continuous integration workflows using Cloud Build triggers and build configurations.
Containerizing Applications and Using Container Registry
Objective 1.4 · Build, test, and store container images with Cloud Build and Container Registry.
Continuous Delivery with Cloud Deploy and Spinnaker
Objective 1.5 · Implement continuous delivery pipelines to deploy applications to GKE and other environments using Cloud Deploy.
Managing Artifacts and Packages with Artifact Registry
Objective 1.6 · Store, manage, and secure build artifacts and dependencies using Artifact Registry.
Service Monitoring Fundamentals with Cloud Monitoring
Objective 2.1 · Configure Cloud Monitoring dashboards, alerting policies, and uptime checks for applications and infrastructure.
Centralized Logging and Analysis with Cloud Logging
Objective 2.2 · Set up log sinks, log-based metrics, and use Logs Explorer for troubleshooting and analysis.
Distributed Tracing and Profiling with Cloud Trace and Cloud Profiler
Objective 2.3 · Use Cloud Trace to analyze request latency and Cloud Profiler to identify performance bottlenecks.
Incident Response and Alerting Strategies
Objective 3.1 · Design effective alerting policies, notification channels, and escalation paths for incident management.
Incident Triage, Root Cause Analysis, and Postmortems
Objective 3.2 · Conduct incident triage, perform root cause analysis using logs and metrics, and run blameless postmortems.
Defining Service Level Objectives (SLOs) and Indicators (SLIs)
Objective 4.1 · Establish SLOs and SLIs for services, and use error budgets to balance reliability and feature velocity.
Performance Tuning and Cost Optimization
Objective 4.2 · Identify and remediate performance issues, and optimize resource usage for cost efficiency.
Automation and Configuration Management with Cloud Tools
Objective 5.3 · Automate operational tasks using Cloud Functions, Cloud Scheduler, and configuration management tools.
Security and Compliance in DevOps Pipelines
Objective 5.4 · Integrate security scanning, vulnerability management, and compliance checks into CI/CD pipelines.
Free PCDOE practice questions with full explanations. Test what you learn chapter by chapter.
PCDOE Practice Questions