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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:
Jan 30, 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 have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster. Each microservice is a deployment with resource limits configured for each container in the deployment. You've observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

Options:

A.

Modify the cluster's node pool machine type and choose a machine type with more memory and CPU.

B.

Configure a Horizontal Pod Autoscaler for each microservice.

C.

Configure GKE cluster autoscaling.

D.

Configure a Vertical Pod Autoscaler for each microservice.

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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 use Cloud Logging lo capture application logs. You now need to use SOL to analyze the application logs in Cloud Logging, and you want to follow Google-recommended practices. What should you do?

Options:

A.

Develop SQL queries by using Gemini for Google Cloud.

B.

Enable Log Analytics for the log bucket and create a linked dataset in BigQuery.

C.

Create a schema for the storage bucket and run SQL queries for the data in the bucket.

D.

Export logs to a storage bucket and create an external view in BigQuery.

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