Spring 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: Mar 17, 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: Mar 17, 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: Mar 17, 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
Mar 4, 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 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?

Options:

A.

Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs

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.

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

Question 3

Your application artifacts are being built and deployed via a CI/CD pipeline. You want the CI/CD pipeline to securely access application secrets. You also want to more easily rotate secrets in case of a security breach. What should you do?

Options:

A.

Prompt developers for secrets at build time. Instruct developers to not store secrets at rest.

B.

Store secrets in a separate configuration file on Git. Provide select developers with access to the configuration file.

C.

Store secrets in Cloud Storage encrypted with a key from Cloud KMS. Provide the CI/CD pipeline with access to Cloud KMS via IAM.

D.

Encrypt the secrets and store them in the source code repository. Store a decryption key in a separate repository and grant your pipeline access to it