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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:
May 4, 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 create an autoscaling managed instance group for an HTTPS web application. You want to make sure that unhealthy VMs are recreated. What should you do?

Options:

A.

Create a health check on port 443 and use that when creating the Managed Instance Group.

B.

Select Multi-Zone instead of Single-Zone when creating the Managed Instance Group.

C.

In the Instance Template, add the label ‘health-check’.

D.

In the Instance Template, add a startup script that sends a heartbeat to the metadata server.

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Question 2

Your company runs a variety of applications and workloads on Google Cloud and you are responsible for managing cloud costs. You need to identify a solution that enables you to perform detailed cost analysis You also must be able to visualize the cost data in multiple ways on the same dashboard What should you do?

Options:

A.

Use the cost breakdown report with the available filters from Cloud Billing to visualize the data

B.

Enable the Cloud Billing export to BigQuery. and use Looker Studio to visualize the data

C.

Run Queries in Cloud Monitoring Create dashboards to visualize the billing metrics

D.

Enable Cloud Monitoring metrics export to BigQuery and use Looker to visualize the data

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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