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Google Associate-Cloud-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Associate-Cloud-Engineer
Exam Name:
Google Cloud Certified - Associate Cloud Engineer
Certification:
Google Cloud Certified
Vendor:
Google
Questions:
332
Last Updated:
Mar 11, 2026
Exam Status:
Stable
Google Associate-Cloud-Engineer

Associate-Cloud-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

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Google Cloud Certified - Associate Cloud Engineer Questions and Answers

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Question 1

You need to deploy an application in Google Cloud using savorless technology. You want to test a new version of the application with a small percentage of production traffic. What should you do?

Options:

A.

Deploy the application lo Cloud. Run. Use gradual rollouts for traffic splitting .

B.

Deploy the application lo Google Kubemetes Engine. Use Anthos Service Mesh for traffic splitting.

C.

Deploy the application to Cloud functions. Saucily the version number in the functions name.

D.

Deploy the application to App Engine. For each new version, create a new service.

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Question 2

You need to track and verity modifications to a set of Google Compute Engine instances in your Google Cloud project. In particular, you want to verify OS system patching events on your virtual machines (VMs). What should you do?

Options:

A.

Review the Compute Engine activity logs Select and review the Admin Event logs

B.

Review the Compute Engine activity logs Select and review the System Event logs

C.

Install the Cloud Logging Agent In Cloud Logging review the Compute Engine syslog logs

D.

Install the Cloud Logging Agent In Cloud Logging, review the Compute Engine operation logs

Question 3

You are analyzing Google Cloud Platform service costs from three separate projects. You want to use this information to create service cost estimates by service type, daily and monthly, for the next six months using standard query syntax. What should you do?

Options:

A.

Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.

B.

Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.

C.

Export your transactions to a local file, and perform analysis with a desktop tool.

D.

Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.

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