Google Google Associate Cloud Engineer Exam (page: 3)
Google Associate Cloud Engineer
Updated on: 25-Dec-2025

You need a dynamic way of provisioning VMs on Compute Engine. The exact specifications will be in a dedicated configuration file. You want to follow Google's recommended practices.
Which method should you use?

  1. Deployment Manager
  2. Cloud Composer
  3. Managed Instance Group
  4. Unmanaged Instance Group

Answer(s): A

Explanation:

https://cloud.google.com/deployment-manager/docs/configuration/create-basic-configuration



You have a Dockerfile that you need to deploy on Kubernetes Engine.
What should you do?

  1. Use kubectl app deploy <dockerfilename>.
  2. Use gcloud app deploy <dockerfilename>.
  3. Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
  4. Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.

Answer(s): C


Reference:

https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app



Your development team needs a new Jenkins server for their project. You need to deploy the server using the fewest steps possible.
What should you do?

  1. Download and deploy the Jenkins Java WAR to App Engine Standard.
  2. Create a new Compute Engine instance and install Jenkins through the command line interface.
  3. Create a Kubernetes cluster on Compute Engine and create a deployment with the Jenkins Docker image.
  4. Use GCP Marketplace to launch the Jenkins solution.

Answer(s): D


Reference:

https://cloud.google.com/solutions/using-jenkins-for-distributed-builds-on-compute- engine



You need to update a deployment in Deployment Manager without any resource downtime in the deployment.
Which command should you use?

  1. gcloud deployment-manager deployments create --config <deployment-config-path>
  2. gcloud deployment-manager deployments update --config <deployment-config-path>
  3. gcloud deployment-manager resources create --config <deployment-config-path>
  4. gcloud deployment-manager resources update --config <deployment-config-path>

Answer(s): B


Reference:

https://cloud.google.com/sdk/gcloud/reference/deployment- manager/deployments/update



You need to run an important query in BigQuery but expect it to return a lot of records. You want to find out how much it will cost to run the query. You are using on-demand pricing.
What should you do?

  1. Arrange to switch to Flat-Rate pricing for this query, then move back to on-demand.
  2. Use the command line to run a dry run query to estimate the number of bytes read. Then convert that bytes estimate to dollars using the Pricing Calculator.
  3. Use the command line to run a dry run query to estimate the number of bytes returned. Then convert that bytes estimate to dollars using the Pricing Calculator.
  4. Run a select count (*) to get an idea of how many records your query will look through. Then convert that number of rows to dollars using the Pricing Calculator.

Answer(s): B


Reference:

https://cloud.google.com/bigquery/docs/estimate-costs

On-demand pricing Under on-demand pricing, BigQuery charges for queries by using one metric: the number of bytes processed (also referred to as bytes read). You are charged for the number of bytes processed whether the data is stored in BigQuery or in an external data source such as Cloud Storage, Drive, or Cloud Bigtable. On-demand pricing is based solely on usage. https://cloud.google.com/bigquery/pricing#on_demand_pricing



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