Professional-Cloud-DevOps-Engineer exam dumps

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  • Exam Code: Professional-Cloud-DevOps-Engineer
  • Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
  • No. of Questions: 208 Questions and Answers
  • Updated: Oct 26, 2026

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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
Related Certifications:Professional Cloud Network Engineer
Professional Cloud Security Engineer
Professional Cloud Architect
Professional Cloud Developer
Passing Score:Not publicly disclosed
Real Exam Qty:50-60
Certificate Validity Period:2 years
Exam Format:Multiple choice, Multiple select
Exam Price:$200 (plus tax where applicable)
Exam Duration:120 minutes
Available Languages:English, Japanese
Recommended Training:Professional Cloud DevOps Engineer Learning Path
Exam Guide
Exam Registration:Google Cloud Certification Registration
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored (remote) or onsite proctored (testing center)
Pre Condition:No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-devops-engineer

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

SectionWeightObjectives
Applying site reliability engineering practices18%- Manage incidents and outages
  • 1. Perform postmortems and root cause analysis
  • 2. Detect and respond to issues quickly
  • 3. Implement improvements to prevent recurrence
- Define reliability goals
  • 1. Establish SLIs, SLOs, SLAs
  • 2. Align reliability with business needs
  • 3. Use error budgets to balance change and stability
- Design for resilience
  • 1. Plan redundancy and fault tolerance
  • 2. Test failure scenarios and recovery
  • 3. Automate remediation and self-healing
Implementing observability and troubleshooting20%- Optimize observability strategy
  • 1. Integrate observability into development
  • 2. Scale monitoring for large environments
  • 3. Reduce noise and prioritize signals
- Build monitoring and logging systems
  • 1. Use Cloud Monitoring, Cloud Logging, Cloud Trace
  • 2. Collect and analyze metrics, logs, traces
  • 3. Create dashboards and alerts
- Troubleshoot complex issues
  • 1. Trace requests end-to-end
  • 2. Isolate problems across layers
  • 3. Analyze performance and latency
Building and implementing CI/CD pipelines25%- Design CI/CD pipelines
  • 1. Plan pipelines for apps, infrastructure, ML workloads
  • 2. Support hybrid/multi-cloud deployment
  • 3. Integrate artifact management
- Implement and secure pipelines
  • 1. Automate build, test, and deployment stages
  • 2. Enforce security scanning and compliance checks
  • 3. Manage pipeline secrets and credentials
- Optimize and maintain pipelines
  • 1. Handle rollbacks and versioning
  • 2. Monitor pipeline performance
  • 3. Improve speed and reliability
Bootstrapping and maintaining a Google Cloud organization20%- Manage configuration and deployment
  • 1. Use Infrastructure as Code tools
  • 2. Enforce consistency across environments
  • 3. Automate resource provisioning
- Set up governance and compliance
  • 1. Implement organization policies
  • 2. Manage resource quotas and limits
  • 3. Configure audit logging and monitoring
- Design resource hierarchy
  • 1. Define IAM policies and access control
  • 2. Plan shared networking and connectivity
  • 3. Organize resources by project/folder/application
Optimizing performance and cost17%- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Use caching and content delivery
  • 3. Optimize resource allocation
- Balance cost, performance, and reliability
  • 1. Plan capacity and scaling
  • 2. Optimize over time
  • 3. Make tradeoff decisions based on data
- Apply FinOps practices
  • 1. Use spot instances and committed use discounts
  • 2. Right-size resources and eliminate waste
  • 3. Monitor and analyze cloud costs

Your Google Cloud Certified - Professional Cloud DevOps Engineer Questions Answered in Full

At present, the Professional-Cloud-DevOps-Engineer exam's passing score is Not publicly disclosed, and registration costs $200 (plus tax where applicable). Since failing means registering again at full price, thorough preparation is the economical choice — and Google can revise both figures, so confirm them officially before booking.

The Google Cloud Certified - Professional Cloud DevOps Engineer blueprint is built around these main domains:

  • Bootstrapping and maintaining a Google Cloud organization (20%)
  • Applying site reliability engineering practices (18%)
  • Implementing observability and troubleshooting (20%)

Additional domains appear in the full official outline — our bank covers them all.

Honored in writing. If you fail the corresponding exam within 60 days of purchase, send us a scanned copy of your enrollment slip and your official Score Report PDF within two days of the exam date; verified claims are refunded in full within seven days. Exclusions: exams taken within three days of purchase, candidate names that differ from the payer, and free or expired products. You may also exchange your product for two others of equal value at no charge.

Google lists these official training options:

Combine structured training with engine-based practice to cover both theory and test-taking rhythm.

By a professional group with dedicated contribution — experienced engineers and educators in this industry who compile every Professional-Cloud-DevOps-Engineer question and verify every answer across the Google Cloud Certified - Professional Cloud DevOps Engineer objectives. Maintenance is continuous: as new technology standards and knowledge emerge, revisions follow, and each updated version is sent to your mailbox immediately, free for 365 days, with a 50% renewal discount for further partnership. Privacy is protected by principle — your information is classified and never sold or shared, so no one will call you to sell something after our cooperation. And preferential terms — bundle discounts on the three versions, irregular coupons, little gifts — thank you for your trust in return.

Google publishes these prerequisites for the Google Cloud Certified - Professional Cloud DevOps Engineer: No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud.

Verify the current requirements on the official certification page.

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Per the latest exam information, the Professional-Cloud-DevOps-Engineer exam contains 50-60 questions with 120 minutes minutes to complete them. The PC Test Engine lets you simulate a full test event under these conditions to check your progress.

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Google Cloud Certified - Professional Cloud DevOps Engineer Sample Questions:

You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?
Choose 2 answers

  • A. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
  • B. Require developers to run automated integration tests on their local development environments before release.
  • C. Before merging new code, require 2 different peers to review the code changes.
  • D. Configure a CI server.Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.
  • E. Adopt the blue/green deployment strategy when releasing new code via a CD server.
Reveal Solution  Discussion  0

Correct Answer: D,E  🗳️

Your company runs an e-commerce business. The application responsible for payment processing has structured JSON logging with the following schema:
Capture and access of logs from the payment processing application is mandatory for operations, but the jsonPayload.user_email field contains personally identifiable information (PII). Your security team does not want the entire engineering team to have access to PII. You need to stop exposing PII to the engineering team and restrict access to security team members only. What should you do?

  • A. Apply a jsonPayload.user_email exclusion filter to the _Default bucket.
  • B. Apply the conditional role binding resource.name.extract("locations/global/buckets/(bucket)/") ==
    "_Default" to the _Default bucket.
  • C. Modify the application to toggle inclusion of user_email when the log_user_email environment variable is set to true. Restrict the engineering team members who can change the production environment variable by using the CODEOWNERS file.
  • D. Apply a jsonPayload.user_email restricted field to the _Default bucket. Grant the Log Field Accessor role to the security team members.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers

  • A. GKE health checks for your application servers
  • B. Metrics exported from the application servers
  • C. Your application servers' logs
  • D. A synthetic client that periodically sends simulated user requests
  • E. Instrumentation coded directly in the client
Reveal Solution  Discussion  0

Correct Answer: D,E  🗳️

You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

  • A. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
  • B. Configure Access Context Manager to allow only these members to export logs.
  • C. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
  • D. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for PrepAwayETE members. You can sign-up / login (it's free).

You are the Site Reliability Engineer responsible for managing your company's data services and products.
You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

  • A. Review the design of the product with the product development team to provide feedback early in the design phase.
  • B. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performancemetrics with the product development team.
  • C. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.
  • D. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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