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Exam Code:
Professional-Cloud-DevOps-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Jun 9, 2025
194 Questions Answers with Explanation Detail
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Professional-Cloud-DevOps-Engineer Q&A's Detail

Exam Code:
Professional-Cloud-DevOps-Engineer
Total Questions:
194 Q&A's
Single Choice Questions:
177 Q&A's
Multiple Choice Questions:
17 Q&A's

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Google Professional-Cloud-DevOps-Engineer Exam Dumps FAQs

The Google Professional-Cloud-DevOps-Engineer Exam is a certification exam that assesses your ability to implement processes throughout the systems development lifecycle using Google-recommended methodologies and tools. It evaluates your skills in building and deploying software and infrastructure delivery pipelines, optimizing and maintaining production systems and services, and balancing service reliability with delivery speed.

The Google Professional-Cloud-DevOps-Engineer exam is ideal for IT professionals with experience in:

  • DevOps practices and principles
  • Cloud computing, preferably Google Cloud Platform (GCP)
  • Software development and infrastructure management
  • Site Reliability Engineering (SRE) concepts

The Google Professional-Cloud-DevOps-Engineer exam focuses on your ability to:

  • Bootstrap a GCP organization for DevOps: Configure IAM, quotas, billing, and resource management.
  • Build and implement CI/CD pipelines: Utilize Cloud Build, Cloud Functions, and Cloud Deployment Manager.
  • Apply SRE practices to a service: Design for high availability, scalability, and observability using tools like Cloud Monitoring and Cloud Logging.
  • Implement service monitoring strategies: Define metrics, alerts, and dashboards to ensure service health.
  • Optimize and maintain production systems: Leverage autoscaling, managed services, and cost optimization techniques.
The Google Professional-Cloud-DevOps-Engineer Exam consists of 50-60 multiple choice and multiple select questions.
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Questions 1

Your team is running microservices in Google Kubernetes Engine (GKE) You want to detect consumption of an error budget to protect customers and define release policies What should you do?

Options:

A.

Create SLIs from metrics Enable Alert Policies if the services do not pass

B.

Use the metrics from Anthos Service Mesh to measure the health of the microservices

C.

Create a SLO Create an Alert Policy on select_slo_bum_rate

D.

Create a SLO and configure uptime checks for your services Enable Alert Policies if the services do not pass

Questions 2

You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

Options:

A.

90th percentile – 100ms95th percentile – 250ms

B.

90th percentile – 120ms95th percentile – 275ms

C.

90th percentile – 150ms95th percentile – 300ms

D.

90th percentile – 250ms95th percentile – 400ms

Questions 3

You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

Options:

A.

Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.

B.

Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.

C.

Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.

D.

Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.

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