Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Certification Provider: Google
Corresponding Certification: Cloud DevOps Engineer
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- Total Questions: 208
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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 |
| Available Languages: | Japanese, English |
| Exam Price: | $200 (plus tax where applicable) |
| Related Certifications: | Professional Cloud Network Engineer Professional Cloud Architect Professional Cloud Security Engineer Professional Cloud Developer |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed |
| Exam Format: | Multiple select, Multiple choice |
| Real Exam Qty: | 50-60 |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Exam Guide Professional Cloud DevOps Engineer Learning Path |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Applying site reliability engineering practices | 18% | - Design for resilience
|
| Bootstrapping and maintaining a Google Cloud organization | 20% | - Manage configuration and deployment
|
| Implementing observability and troubleshooting | 20% | - Troubleshoot complex issues
|
| Optimizing performance and cost | 17% | - Balance cost, performance, and reliability
|
| Building and implementing CI/CD pipelines | 25% | - Implement and secure pipelines
|
Google Cloud Certified - Professional Cloud DevOps Engineer FAQ: No-Nonsense Answers
Delivery takes about a minute: successful payment triggers an automatic email with your files, installable on unlimited devices — contact our 24/7 staff if nothing arrives within 2 hours (check spam first). And a failed attempt doesn't leave you stranded: take the corresponding Professional-Cloud-DevOps-Engineer exam within 60 days of purchase, submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, and we process a full refund within 7 days. Excluded: exams within 3 days of purchase, payer-name mismatches, and free or expired products. Alternatively, switch to two other equal-value products free.
Expect $200 (plus tax where applicable) per attempt and a passing score of Not publicly disclosed. A retake costs the full fee again — one more reason to rehearse with the 208 practice questions from Actual4dump until your mock scores sit comfortably above the mark.
Yes:
Pair any official course with effective review: the 208 practice questions for the Google Cloud Certified - Professional Cloud DevOps Engineer turn training knowledge into exam-ready answers.
The Google Cloud Certified - Professional Cloud DevOps Engineer blueprint covers 5 domains — including Implementing observability and troubleshooting (20%), Building and implementing CI/CD pipelines (25%), Bootstrapping and maintaining a Google Cloud organization (20%). Let the weightings steer your schedule: the heavier the domain, the heavier your practice time. Every subtopic is listed in the outline above.
No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud Since vendors update eligibility rules periodically, verify the current requirements on the official page (official Professional-Cloud-DevOps-Engineer exam page) before registering.
Registration runs through the vendor's official channels:
The Google Cloud Certified - Professional Cloud DevOps Engineer is delivered Online proctored (remote) or onsite proctored (testing center) — choose your preferred option when booking.
The Google Cloud Certified - Professional Cloud DevOps Engineer is Google's official exam for the Professional Cloud DevOps Engineer credential (Professional level). Passing it certifies a professional background that helps you stand out at work instead of running with the crowd. It also relates to Professional Cloud Architect, Professional Cloud Developer, Professional Cloud Network Engineer, Professional Cloud Security Engineer.
120 minutes for 50-60 questions. Effective review beats anxious cramming: rehearse timed sets in the Actual4dump engine until pacing becomes habit, and the clock becomes an asset instead of a threat.
Yes — the free Google Cloud Certified - Professional Cloud DevOps Engineer demo shows real question quality before you pay, the surest way to identify helpful material in a crowded market. Buying includes 365 days of free updates, renewable later at 50% off.
Google Cloud Certified - Professional Cloud DevOps Engineer Sample Questions:
Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE) The application load increases during the day and decreases during the night Your operations team has configured the application to run enough Pods to handle the evening peak load You want to automate scaling by only running enough Pods and nodes for the load What should you do?
- A. Configure the Vertical Pod Autoscaler but keep the node pool size static
- B. Configure the Vertical Pod Autoscaler and enable the cluster autoscaler
- C. Configure the Horizontal Pod Autoscaler but keep the node pool size static
- D. Configure the Horizontal Pod Autoscaler and enable the cluster autoscaler
Correct Answer: D 🗳️
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You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster.
The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?
- A. Configure your Kubernetes duster as a Private Cluster.
- B. Configure a Google Cloud HTTP Load Balancer as Ingress.
- C. Configure your network services on the Standard Tier.
- D. Configure the VPC as a Shared VPC Host project.
Correct Answer: C 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?
- A. Deploy the application through a continuous delivery pipeline by using canary deployments Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics
- B. Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues
- C. Deploy the application by using kubectl and set the spec. updatestrategy. type field to RollingUpdate Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.
- D. Deploy the application through a continuous delivery pipeline by using blue/green deployments Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues
Correct Answer: A 🗳️
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Your team is preparing to launch a new API in Cloud Run. The API uses an OpenTelemetry agent to send distributed tracing data to Cloud Trace to monitor the time each request takes. The team has noticed inconsistent trace collection. You need to resolve the issue. What should you do?
- A. Configure CPU to be always-allocated.
- B. Increase the CPU limit in Cloud Run from 2 to 4.
- C. Configure CPU to be allocated only during request processing.
- D. Use an HTTP health check.
Correct Answer: A 🗳️
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Your company has recently experienced several production service issues. You need to create a Cloud Monitoring dashboard to troubleshoot the issues, and you want to use the dashboard to distinguish between failures in your own service and those caused by a Google Cloud service that you use. What should you do?
- A. Create an alerting policy for the system error metrics.
- B. Create a logs widget to display system errors from Cloud Logging on the dashboard.
- C. Enable Personalized Service Health annotations on the dashboard.
- D. Create a log-based metric to track cloud service errors, and display the metric on the dashboard.
Correct Answer: C 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
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