Pre-Summer Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

Professional-Cloud-DevOps-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud DevOps Engineer Exam

PDF
Professional-Cloud-DevOps-Engineer pdf
 Real Exam Questions and Answer
 Last Update: Apr 19, 2026
 Question and Answers: 201 With Explanation
 Compatible with all Devices
 Printable Format
 100% Pass Guaranteed
$25.5  $84.99
Professional-Cloud-DevOps-Engineer exam
PDF + Testing Engine
Professional-Cloud-DevOps-Engineer PDF + engine
 Both PDF & Practice Software
 Last Update: Apr 19, 2026
 Question and Answers: 201
 Discount Offer
 Download Free Demo
 24/7 Customer Support
$40.5  $134.99
Testing Engine
Professional-Cloud-DevOps-Engineer Engine
 Desktop Based Application
 Last Update: Apr 19, 2026
 Question and Answers: 201
 Create Multiple Test Sets
 Questions Regularly Updated
  90 Days Free Updates
  Windows and Mac Compatible
$30  $99.99

Verified By IT Certified Experts

CertsTopics.com Certified Safe Files

Up-To-Date Exam Study Material

99.5% High Success Pass Rate

100% Accurate Answers

Instant Downloads

Exam Questions And Answers PDF

Try Demo Before You Buy

Certification Exams with Helpful Questions And Answers

What our customers are saying

Lebanon certstopics Lebanon
Alyssa
Apr 11, 2026
The Google Professional-Cloud-DevOps-Engineer exam was made easier for me after using certstopic. I was able to score 890/1000 in it easily.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Question 1

You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service’s operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)

Options:

A.

Make the service’s SLO more strict.

B.

Increase the service’s deployment velocity and/or risk.

C.

Shift engineering time to other services that need more reliability.

D.

Get the product team to prioritize reliability work over new features.

E.

Change the implementation of your Service Level Indicators (SLIs) to increase coverage.

Buy Now
Question 2

You manage a critical, user-facing application and have configured a service level objective (SLO) in Cloud Monitoring to track 99% availability over a 30-day rolling window. Recently, a series of minor issues have increased latency, causing the error budget to be consumed at an accelerated rate. You need to be proactively notified when the service is at risk of violating its SLO before the error budget is fully depleted. What should you do?

Options:

A.

In Cloud Monitoring, create an alerting policy based on the SLO's error budget burn rate. Configure the alert to trigger when the current consumption rate is projected to exhaust the budget before the end of the 30-day compliance period.

B.

Create a custom dashboard in Cloud Monitoring that visualizes the SLO compliance percentage and the remaining error budget. Configure the dashboard to send a scheduled daily report through email.

C.

Configure a log-based metric in Cloud Monitoring that tracks the rate of application error logs. Create an alerting policy on this metric that triggers when the error rate shows a significant anomalous deviation from its historical baseline.

D.

In Metrics Explorer, create an alerting policy based on the average request latency for the application's load balancer. Configure the alert to trigger if latency exceeds a predefined threshold.

Question 3

You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

Options:

A.

Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.

B.

Apply the latest tag to the previous container image, and do a rolling update on the deployment.

C.

Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.

D.

Alter the deployment to point to the sha2 56 digest of the previously working container.