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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:
Cloud DevOps Engineer
Vendor:
Google
Questions:
201
Last Updated:
Feb 9, 2026
Exam Status:
Stable
Google Professional-Cloud-DevOps-Engineer

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

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

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Question 1

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.

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Question 2

You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

Options:

A.

Grant the team members the IAM role of logging.configWriter on Cloud IAM.

B.

Configure Access Context Manager to allow only these members to export logs.

C.

Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.

D.

Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

Question 3

You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler 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 or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

Options:

A.

Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

B.

Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.

C.

Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.

D.

Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.

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