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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 |
| Passing Score: | 70% |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Price: | $200 USD |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Google Cloud Professional Cloud Developer Google Cloud Professional Cloud Architect Google Cloud Associate Cloud Engineer |
| Available Languages: | Japanese, English, Portuguese, Spanish |
| Real Exam Qty: | 50 |
| Exam Duration: | 120 minutes |
| Sample Questions: |  |
| Exam Way: | Online proctored exam available through Pearson VUE or online proctoring. In-person testing at Kryterion test centers also available. |
| Pre Condition: | Recommended: Associate Cloud Engineer certification and 3+ years industry experience including 1+ years Google Cloud experience. No mandatory prerequisites required. |
| Official Syllabus URL: | https://cloud.google.com/certification/cloud-devops-engineer |
Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Logging, and Debugging | 12% | - Debugging and troubleshooting
|
| Microservices Architecture | 14% | - Container orchestration with GKE
|
| Reliability and Site Reliability Engineering (SRE) | 24% | - Incident management
|
| Cloud Infrastructure Automation | 24% | - Deployment strategies
|
| CI/CD Pipeline Development | 26% | - CI/CD best practices
|
Google Cloud Certified - Professional Cloud DevOps Engineer Exam FAQ: What Candidates Ask Most
What is the Google Professional-Cloud-DevOps-Engineer exam?
The Professional-Cloud-DevOps-Engineer exam is the official Google Cloud exam behind the Cloud DevOps Engineer certification, validating the skills measured by the Google Cloud Certified - Professional Cloud DevOps Engineer credential. It sits at the Professional level of the Google Cloud certification program. It also connects to Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional Cloud Developer, so the knowledge you build here carries over to those tracks as well.
How many questions are on the Professional-Cloud-DevOps-Engineer exam, and how much time do I get?
The Professional-Cloud-DevOps-Engineer exam contains 50 questions to be completed within 120 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the Professional-Cloud-DevOps-Engineer exam, and what does it cost?
The passing score for the Professional-Cloud-DevOps-Engineer exam is 70%, and the official registration fee is $200 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 208 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the Professional-Cloud-DevOps-Engineer exam?
Recommended: Associate Cloud Engineer certification and 3+ years industry experience including 1+ years Google Cloud experience. No mandatory prerequisites required. Requirements can change when Google Cloud revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
Can I try the Professional-Cloud-DevOps-Engineer practice questions before I buy?
Yes. Getcertkey provides a free Professional-Cloud-DevOps-Engineer PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Google revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the Professional-Cloud-DevOps-Engineer exam, and how is my order delivered?
Every Google Cloud Certified - Professional Cloud DevOps Engineer purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the Professional-Cloud-DevOps-Engineer exam?
The Google Cloud Certified - Professional Cloud DevOps Engineer exam blueprint is organized into 5 domains. The first three are:
- Cloud Infrastructure Automation — 24% of the exam
- Microservices Architecture — 14% of the exam
- Monitoring, Logging, and Debugging — 12% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Google Cloud Certified - Professional Cloud DevOps Engineer Sample Questions:
Question 1
You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?
A. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity
B. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate
C. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth
D. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs
Question 2
You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below:
The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?
A. Change the selector on the Service app-svc to app: my-app, version: blue
B. Change the selector on the Service app-2vc to app: my-app.
C. Update the Deployment app-blue to use the new version of the application
D. Update the Deployment ape-green to use the previous version of the application
Question 3
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?
A. Use Stackdriver Profiler to visualize the resources utilization throughout the application.
B. Check the serial port logs of the Compute Engine instance.
C. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.
D. Determine whether there is an increased number of connections to the Cloud SQL instance.
Question 4
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?
A. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
B. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
C. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
D. Download the JSON definition of the dashboard, and send the JSON file to the partner team
Question 5
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. 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.
C. Apply a jsonPayload.user_email restricted field to the _Default bucket. Grant the Log Field Accessor role to the security team members.
D. Apply the conditional role binding resource.name.extract("locations/global/buckets/(bucket)/") ==
"_Default" to the _Default bucket.
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: C |
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