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

Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-DevOps-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Certification:
Vendor:
Questions:
201
Last Updated:
May 17, 2026
Exam Status:
Stable
Google Professional-Cloud-DevOps-Engineer

Professional-Cloud-DevOps-Engineer: Cloud DevOps Engineer Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer Exam) exam? Download the most recent Google Professional-Cloud-DevOps-Engineer braindumps with answers that are 100% real. After downloading the Google Professional-Cloud-DevOps-Engineer exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Cloud-DevOps-Engineer exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Cloud-DevOps-Engineer exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Cloud Certified - Professional Cloud DevOps Engineer Exam) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Cloud-DevOps-Engineer test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Cloud-DevOps-Engineer practice exam demo.

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

You recently created a Cloud Build pipeline for deploying Terraform code stored in a GitHub repository. You make Terraform code changes in short-lived branches and sometimes use tags during development. You tag releases with a semantic version when they are ready for deployment. You require your pipeline to apply the Terraform code whenever there is a new release, and you need to minimize operational overhead. What should you do?

Options:

A.

Create a build trigger with the * branch pattern.

B.

Create a build trigger with the \d+\.\d+\.\d* tag pattern.

C.

Create a build trigger with the .* tag pattern.

D.

Create a build trigger with the \d*\.\d+\.\d* branch pattern.