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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:
Vendor:
Questions:
332
Last Updated:
Jan 27, 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

Question 1

You want to permanently delete a Pub/Sub topic managed by Config Connector in your Google Cloud project. What should you do?

Options:

A.

Use kubect1 to delete the topic resource.

B.

Use gcloud CLI to delete the topic.

C.

Use kubect1 to create the label deleted-by-cnrm and to change its value to true for the topic resource.

D.

Use gcloud CLI to update the topic label managed-by-cnrm to false.

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Question 2

You are deploying an application to Cloud Run. Your application requires the use of an API that runs on Google Kubernetes Engine (GKE). You need to ensure that your Cloud Run service can privately reach the API on GKE, and you want to follow Google-recommended practices. What should you do?

Options:

A.

Deploy an ingress resource on the GKE cluster to expose the API to the internet. Use Cloud Armor to filter for IP addresses that can connect to the API. On the Cloud Run service, configure the application to fetch its public IP address and update the Cloud Armor policy on startup to allow this IP address to call the API on ports 80 and 443.

B.

Create an egress firewall rule on the VPC to allow connections to 0.0.0.0/0 on ports 80 and 443.

C.

Create an ingress firewall rule on the VPC to allow connections from 0.0.0.0/0 on ports 80 and 443.

D.

Deploy an internal Application Load Balancer to expose the API on GKE to the VPC. Configure Cloud DNS with the IP address of the internal Application Load Balancer. Deploy a Serverless VPC Access connector to allow the Cloud Run service to call the API through the FQDN on Cloud DNS.

Question 3

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.