Google Professional Cloud DevOps Engineer Exam Practice Test
Build your confidence for Google Professional Cloud DevOps Engineer Exam. Practice the concepts, understand the answers, and strengthen your knowledge one question at a time.
Try a sample questionExam overview and details
The Google Professional Cloud DevOps Engineer certification validates advanced expertise in implementing and managing reliable, scalable, and efficient systems on Google Cloud Platform (GCP). This certification demonstrates a professional's ability to balance service reliability with delivery speed by applying site reliability engineering (SRE) principles, implementing continuous integration and continuous delivery (CI/CD) pipelines, and managing service-level objectives (SLOs) and error budgets. Certified individuals are proficient in designing and building operational infrastructure, monitoring and logging systems, and optimizing application performance and security. This credential is recognized globally as a benchmark for professionals who can bridge development and operations to accelerate business value delivery while ensuring system resilience and compliance. Achieving this certification signals to employers a deep, practical understanding of cloud-native operations, automation, and modern DevOps practices within the GCP ecosystem, making holders highly valuable for organizations undergoing digital transformation.
Sample Questions
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A security team requires that GKE only runs container images built by the trusted Cloud Build pipeline. The control must reject untrusted images at deploy time, not merely report them later. Which supply-chain control should be added?
A company manages ten production services. Each service has a Cloud Run frontend, a GKE backend, a Pub/Sub topic, and an owner team. Executives want a dashboard showing service ownership and operational relationships rather than only resource lists by project. What should the DevOps team configure first?
A company wants application teams to deploy Kubernetes manifests through Git pull requests. The platform team wants Kubernetes-native reconciliation for Google Cloud resources such as Pub/Sub topics and IAM bindings, and the security team wants all desired state reviewed in Git. Which tool best matches this operating model?
A release pipeline deploys to dev, staging, and production. Each target has a different service account, and production requires a human approval by the on-call release manager. Which Google Cloud service should own the promotion workflow?
A platform team is creating a golden path for application teams. The path must provision a project, attach it to the enterprise Shared VPC, enable required APIs, configure Artifact Registry, and create a Cloud Deploy delivery pipeline. Teams should not copy and edit one-off scripts. What is the best approach?
Career Opportunities & Salary
Exam insights and study advice
This certification matters because it provides tangible, industry-recognized validation of your ability to design, build, and manage robust cloud operations-a critical skillset in high demand. It directly enhances career prospects by qualifying you for senior DevOps, SRE, and cloud engineering roles, often commanding premium compensation. For organizations, certified professionals reduce operational risk, accelerate deployment cycles, and optimize cloud costs. In a competitive job market, this credential distinguishes you as a practitioner capable of implementing Google's proven SRE methodologies, giving you and your employer a significant competitive advantage in deploying and maintaining mission-critical applications.
What this exam covers
Use the published domain weights to plan your study. Practice results do not predict your certification exam score.
01Section 2: Building and implementing CI/CD pipelines, including continuous testing, for application, infrastructure, and machine learning workloads
This domain covers building, testing, and implementing continuous integration and continuous deployment pipelines for complex applications, infrastructure components, and machine learning workloads, accounting for 25.0 percent of the total tested topics.
02Section 4: Implementing observability practices and troubleshooting issues
This domain deals with implementing advanced observability practices, configuring detailed monitoring and logging systems, and troubleshooting complex operational issues efficiently across 25.0 percent of the overall evaluation framework for the professional certification.
03Section 1: Bootstrapping and maintaining a Google Cloud organization
This domain focuses on bootstrapping, initializing, and maintaining a secure, scalable Google Cloud organization across multiple cloud environments and enterprise teams, representing 20.0 percent of the total exam content for all candidates.
04Section 3: Applying site reliability engineering practices
This domain centers on successfully applying site reliability engineering practices, defining service level objectives, and establishing error budgeting to maintain consistent service health throughout 18.0 percent of the evaluation for all certification candidates.
05Section 5: Optimizing performance and cost
This domain concentrates on carefully optimizing performance, tuning operational parameters, and managing financial costs for cloud workloads operating at scale, representing 12.0 percent of the formal certification exam for all professional cloud engineers.