Free Access Google.Professional-Cloud-DevOps-Engineer.v2026-09-16.q209 Practice Test (Page 2)

Question 1

Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members. What should you do?

A.Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.

B.Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.

C.Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.

D.Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.

Question 2

You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?

A.Use Stackdriver Logging to create a logs-based metric from the Cloud Build logs. Create an Alert with a Webhook notification type.

B.Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.

C.Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.

D.Add logic to each Cloud Build step to HTTP POST the build information to a webhook.

Question 3

You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

A.Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).

B.Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.

C.Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.

D.Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.

Question 4

You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?

A.Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.

B.Negotiate with the development team to reduce the release frequency to no more than once a week.

C.Develop an appropriate error budget policy in cooperation with all service stakeholders.

D.Negotiate with the product team to always prioritize service reliability over releasing new features.

Question 5

You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?

A.Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.

B.Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.

C.Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.

D.Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.

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