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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:
194
Last Updated:
Jan 23, 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

Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

Options:

A.

Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.

B.

Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.

C.

Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.

D.

Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.

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Question 2

You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

Options:

A.

Purchase Committed Use Discounts.

B.

Migrate the instances to a Managed Instance Group.

C.

Convert the instances to preemptible virtual machines.

D.

Create an Unmanaged Instance Group for the instances used to run the workload.

Question 3

You are creating Cloud Logging sinks to export log entries from Cloud Logging to BigQuery for future analysis Your organization has a Google Cloud folder named Dev that contains development projects and a folder named Prod that contains production projects Log entries for development projects must be exported to dev_dataset. and log entries for production projects must be exported to prod_datasetYou need to minimize the number of log sinks created and you want to ensure that the log sinks apply to future projects What should you do?

Options:

A.

Create a single aggregated log sink at the organization level.

B.

Create a log sink in each project

C.

Create two aggregated log sinks at the organization level, and filter by project ID

D.

Create an aggregated Iog sink in the Dev and Prod folders

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