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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 13, 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 recently deployed a new version of an application to App Engine and then discovered a bug in the release. You need to immediately revert to the prior version of the application. What should you do?

Options:

A.

Run gcloud app restore.

B.

On the App Engine page of the GCP Console, select the application that needs to be reverted and click Revert.

C.

On the App Engine Versions page of the GCP Console, route 100% of the traffic to the previous version.

D.

Deploy the original version as a separate application. Then go to App Engine settings and split traffic between applications so that the original version serves 100% of the requests.

Question 3

You have developed an application that consists of multiple microservices, with each microservice packaged in its own Docker container image. You want to deploy the entire application on Google Kubernetes Engine so that each microservice can be scaled individually. What should you do?

Options:

A.

Create and deploy a Custom Resource Definition per microservice.

B.

Create and deploy a Docker Compose File.

C.

Create and deploy a Job per microservice.

D.

Create and deploy a Deployment per microservice.

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