Free Google Associate-Cloud-Engineer Exam Questions

Become Google Certified with updated Associate-Cloud-Engineer exam questions and correct answers

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Total 346 Questions | Updated On: Apr 03, 2026

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Question 1

Your web application has been running successfully on Cloud Run for Anthos. You want to evaluate an updated version of the application with a specific percentage of your production users (canary deployment). What should you do?

A : Create a new service with the new version of the application. Split traffic between this version and the version that is currently running.

B : Create a new revision with the new version of the application. Split traffic between this version and the version that is currently running.

C : Create a new service with the new version of the application. Add an HTTP Load Balancer in front of both services.

D : Create a new revision with the new version of the application. Add an HTTP Load Balancer in front of both revisions.

Answer: B

Question 2

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?

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.

Answer: C

Question 3

You created an instance of SQL Server 2017 on Compute Engine to test features in the new version. You want to connect to this instance using the fewest number of steps. What should you do?

A : Install a RDP client on your desktop. Verify that a firewall rule for port 3389 exists.

B : Install a RDP client in your desktop. Set a Windows username and password in the GCP Console. Use the credentials to log in to the instance.

C : Set a Windows password in the GCP Console. Verify that a firewall rule for port 22 exists. Click the RDP button in the GCP Console and supply the credentials to log in.

D : Set a Windows username and password in the GCP Console. Verify that a firewall rule for port 3389 exists. Click the RDP button in the GCP Console, and supply the credentials to log in.

Answer: D

Question 4

Your preview application, deployed on a single-zone Google Kubernetes Engine (GKE) cluster in us-centrall, has gained popularity. You are now ready to make the application generally available. You need to deploy the application to production while ensuring high availability and resilience. You also want to follow Googlerecommended practices. What should you do?

A : Use the gcloud container clusters create command with the options--enable-multi-networking and-- enable- autoscaling to create an autoscaling zonal cluster and deploy the application to it.

B : Use the gcloud container clusters create-auto command to create an autopilot cluster and deploy the application to it.

C : Use the gcloud container clusters update command with the option—region us-centrall to update the cluster and deploy the application to it.

D : Use the gcloud container clusters update command with the option—node-locations us-centrall-a,uscentrall-b to update the cluster and deploy the application to the nodes.

Answer: B

Question 5

You have an application that uses Cloud Spanner as a database backend to keep current state information about users. Cloud Bigtable logs all events triggered by users. You export Cloud Spanner data to Cloud Storage during daily backups. One of your analysts asks you to join data from Cloud Spanner and Cloud Bigtable for specific users. You want to complete this ad hoc request as efficiently as possible. What should you do?

A : Create a dataflow job that copies data from Cloud Bigtable and Cloud Storage for specific users.

B : Create a dataflow job that copies data from Cloud Bigtable and Cloud Spanner for specific users.

C : Create a Cloud Dataproc cluster that runs a Spark job to extract data from Cloud Bigtable and Cloud Storage for specific users.

D : Create two separate BigQuery external tables on Cloud Storage and Cloud Bigtable. Use the BigQuery console to join these tables through user fields, and apply appropriate filters.

Answer: D

Page: 1 / 70

Total 346 Questions | Updated On: Apr 03, 2026

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