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: Mar 11, 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

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 3

(Your company uses a multi-cloud strategy that includes Google Cloud. You want to centralize application logs in a third-party software-as-a-service (SaaS) tool from all environments. You need to integrate logs originating from Cloud Logging, and you want to ensure the export occurs with the least amount of delay possible. What should you do?)

A : Use a Cloud Scheduler cron job to trigger a Cloud Function that queries Cloud Logging and sends the logs to the SaaS tool.

B : Create a Cloud Logging sink and configure Pub/Sub as the destination. Configure the SaaS tool to subscribe to the Pub/Sub topic to retrieve the logs.

C : Create a Cloud Logging sink and configure Cloud Storage as the destination. Configure the SaaS tool to read the Cloud Storage bucket to retrieve the logs.

D : Create a Cloud Logging sink and configure BigQuery as the destination. Configure the SaaS tool to query BigQuery to retrieve the logs

Answer: B

Question 4

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?

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.

Answer: A

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: Mar 11, 2026

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