Free Access Google.Professional-Cloud-DevOps-Engineer.v2025-09-27.q141 Practice Test (Page 3)

Question 6

You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

A.Use multiple smaller build steps to minimize execution time.

B.Use Cloud Storage to cache intermediate artifacts.

C.Use larger Cloud Build virtual machines (VMs) by using the machine-type option.

D.Run multiple Jenkins agents to parallelize the build.

Question 7

Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?

A.Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

B.Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.

C.Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.

D.Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.

Question 8

You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

A.Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.

B.Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.

C.Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.

D.In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.

Question 9

You are building and running client applications in Cloud Run and Cloud Functions Your client requires that all logs must be available for one year so that the client can import the logs into their logging service You must minimize required code changes What should you do?

A.Update all images in Cloud Run and all functions in Cloud Functions to send logs to both Cloud Logging andthe client's logging service Ensure that all the ports required to send logs are open in the VPC firewall

B.Create a storage bucket and appropriate VPC firewall rules Update all images in Cloud Run and allfunctions in Cloud Functions to send logs to a file within the storage bucket

C.Create a Pub/Sub topic subscription and logging sink Configure the logging sink to send all logs into thetopic Give your client access to the topic to retrieve the logs

D.Create a logs bucket and logging sink. Set the retention on the logs bucket to 365 days Configure thelogging sink to send logs to the bucket Give your client access to the bucket to retrieve the logs

Question 10

You are designing a system with three different environments: development, quality assurance (QA), and production.
Each environment will be deployed with Terraform and has a Google Kubemetes Engine (GKE) cluster created so that application teams can deploy their applications. Anthos Config Management will be used and templated to deploy infrastructure level resources in each GKE cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both Infrastructure as Code (laC) and application code?

A.Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: differentoverlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features

B.Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated:different branches are different environmentsApplication (app source code) repositories are separated: different branches are different features

C.Cloud Infrastructure (Terraform) repository is shared: different branches are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: differentoverlay directories are different environmentsApplication (app source code) repository is shared: different directories are different features

D.Cloud Infrastructure (Terraform) repositories are separated: different branches are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated:different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features

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