Google Cloud Pro DevOps Engineer: Full Practice Tests 2026

Real exam-level mock tests with detailed explanations for CI/CD, SRE, monitoring, IAM, and GCP DevOps best practices

**Updated Jan 2026 | Brand New Practice Test-4 Added

**Updated Dec 2025

**Reviewed Jul 2024

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Benefits of Certifications

• Industry Recognition: Validates your skills to employers, potential clients, and peers.

• Career Advancement: Enhances your professional credentials and can lead to career development opportunities.

• Community and Networking: Opens the door to a network of Google Cloud certified professionals.

Start your practice today and take a confident step towards a successful career.

• Realistic & Challenging Practice for Real-World Success

• Sharpen Your Skills

  • Put your Google Cloud expertise to the test and identify areas for improvement with meticulously designed practice Exam. Experience exam-like scenarios and challenging questions that closely mirror the official Google Cloud Professional Architect certification.

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This practice exam course is designed to help you confidently prepare for the Google Cloud Professional Cloud DevOps Engineer certification, one of Google Cloud’s most advanced and role-focused professional certifications.

The Professional Cloud DevOps Engineer certification validates your ability to implement DevOps principles across the full systems development lifecycle using Google-recommended tools and methodologies. Certified professionals enable reliable, secure, and high-velocity delivery of software and infrastructure, while continuously optimizing performance, availability, and cost.

This course provides exam-level mock tests that closely reflect the real certification exam format, difficulty, and scenario depth, helping you assess readiness, identify knowledge gaps, and build confidence before taking the actual exam.

Why This Practice Exam Course Is Different

• Fully aligned with the latest official Google Cloud Professional Cloud DevOps Engineer exam guide

• Domain coverage follows exact exam section weightage

• Scenario-based questions reflecting real Google Cloud environments

• Focus on decision-making, architecture trade-offs, and operational best practices

• Ideal for final exam readiness validation, not just theory review

Exam Coverage – Based on the Official Exam Guide

This practice exam course covers all five domains exactly as defined by Google, ensuring your preparation is fully aligned with the current certification blueprint.

Section 1: Bootstrapping and Maintaining a Google Cloud Organization (~20%)

The practice tests assess your ability to design, configure, and manage enterprise-scale Google Cloud environments, including:

• Designing the overall resource hierarchy for an organization
  Organizing resources using folders and projects, shared networking models such as Shared VPC, VPC Network Peering, and Private Service Connect, multi-project monitoring and logging, IAM roles and organization-level policies, service accounts, and data residency considerations

• Managing infrastructure
  Infrastructure-as-code tooling and managed services such as Infrastructure Manager, Cloud Foundation Toolkit, Config Connector, GitOps, Terraform, Helm, Google-recommended blueprints, and automation using scripting languages

• Designing a CI/CD architecture stack in Google Cloud, hybrid, and multi-cloud environments
  Continuous integration with Cloud Build, continuous delivery with Cloud Deploy (including Kustomize and Skaffold), Artifact Registry configuration, third-party tooling, and CI/CD security

• Managing multiple environments
  Ephemeral environments, configuration and policy management, enterprise GKE cluster management, and secure patching and upgrade strategies

• Enabling secure cloud development environments
  Cloud Workstations, Cloud Shell, environment bootstrapping, and leveraging AI-assisted tools such as Gemini Code Assist and Gemini Cloud Assist

Section 2: Building and Implementing CI/CD Pipelines (~25%)

This section evaluates your ability to design, implement, secure, and operate CI/CD pipelines for applications, infrastructure, and ML workloads:

• Designing pipelines
  CI/CD for applications and infrastructure, artifact management, deployment to hybrid and multi-cloud environments, pipeline triggers, and approval workflows

• Implementing and managing pipelines
  Auditing and tracking deployments, deployment strategies such as canary, blue/green, rolling, traffic splitting, feature flags, success metrics, and troubleshooting deployment issues

• Managing pipeline configuration and secrets
  Key management, secret and configuration management, workload identity federation, and build-time versus runtime secret injection

• Securing the deployment pipeline
  Artifact analysis, vulnerability scanning, supply chain security controls, SLSA concepts, Binary Authorization, and environment-specific IAM policies

Section 3: Applying Site Reliability Engineering Practices (~18%)

The practice exams test your understanding of SRE principles as applied in Google Cloud, including:

• Balancing change velocity and reliability
  Defining SLIs, SLOs, SLAs, error budgets, and evaluating reliability trade-offs

• Managing service lifecycle
  Service planning, deployment, maintenance, retirement, capacity planning, quotas, autoscaling, and workload scheduling

• Mitigating incident impact
  Traffic draining and redirection, adding capacity, and rollback strategies

Section 4: Implementing Observability Practices and Troubleshooting (~25%)

This domain focuses on observability, diagnostics, and operational excellence:

• Instrumenting and collecting telemetry
  Logs, metrics, traces, Ops Agent, OpenTelemetry, Cloud Audit Logs, VPC Flow Logs, Cloud Service Mesh, synthetic monitoring, and custom metrics

• Managing and analyzing logs
  Logs Explorer, Logging query language, log exports, retention strategies, sensitive data handling, and AI-assisted log analysis

• Managing metrics, dashboards, and alerts
  Metrics Explorer, dashboards, PromQL, alerting policies, SLI/SLO-based alerts, and third-party integrations

• Capturing and analyzing distributed traces
  Trace analysis, span correlation, structured logs, and AI-assisted trace diagnostics

• Troubleshooting issues
  Infrastructure, CI/CD pipelines, applications, observability systems, performance, and latency problems

Section 5: Optimizing Performance and Cost (~12%)

This section validates your ability to apply FinOps and performance optimization best practices, including:

• Collecting performance information
  Application performance monitoring and insights

• Implementing cost optimization strategies
  Observability cost control, spot VMs, committed-use and sustained-use discounts, workload-level optimization for GKE, Cloud Run, Compute Engine, and using Google Cloud recommendations

Exam Details (Based on Official Certification Page)

• Certification: Google Cloud Professional Cloud DevOps Engineer

• Exam format: Multiple-choice and multiple-select questions

• Exam duration: 2 hours

• Languages: English and Japanese

• Validity: 2 years

• Recommended experience: Hands-on experience with DevOps, CI/CD, SRE, observability, and production workloads on Google Cloud

Who Should Take This Course

• DevOps engineers, SREs, platform engineers, and cloud engineers preparing for the Professional Cloud DevOps Engineer certification

• Professionals working with CI/CD, reliability engineering, observability, and cost optimization on Google Cloud

• Candidates looking for realistic exam simulation and a clear readiness benchmark before scheduling the official exam

Final Note

This practice exam course is designed as a serious, exam-focused preparation tool, aligned precisely with the latest official exam guide. It helps you evaluate your readiness across all exam domains and prepares you to confidently handle real-world, scenario-driven questions in the Google Cloud Professional Cloud DevOps Engineer certification exam.