Online Access Free Google.Professional-Cloud-Developer.v2026-03-19.q199 Practice Test (Page 33)

Professional-Cloud-Developer Exam Question 156

You recently deployed your application in Google Kubernetes Engine, and now need to release a new version of your application. You need the ability to instantly roll back to the previous version in case there are issues with the new version. Which deployment model should you use?

A.Perform a rolling deployment, and test your new application after the deployment is complete.

B.Perform A/B testing, and test your application periodically after the new tests are implemented.

C.Perform a blue/green deployment, and test your new application after the deployment is.
complete.

D.Perform a canary deployment, and test your new application periodically after the new version is deployed.

Professional-Cloud-Developer Exam Question 157

You need to configure a Deployment on Google Kubernetes Engine (GKE). You want to include a check that verifies that the containers can connect to the database. If the Pod is failing to connect, you want a script on the container to run to complete a graceful shutdown. How should you configure the Deployment?

A.Create two jobs: one that checks whether the container can connect to the database, and another that runs the shutdown script if the Pod is failing.

B.Create the Deployment with a livenessProbe for the container that will fail if the container can't connect to the database. Configure a Prestop lifecycle handler that runs the shutdown script if the container is failing.

C.Create the Deployment with a PostStart lifecycle handler that checks the service availability.
Configure a PreStop lifecycle handler that runs the shutdown script if the container is failing.

D.Create the Deployment with an initContainer that checks the service availability. Configure a Prestop lifecycle handler that runs the shutdown script if the Pod is failing.

Professional-Cloud-Developer Exam Question 158

You are a developer at a regulated financial company and are the lead of a risk calculation application that is running on Cloud Run. Binary Authorization for Cloud Run has been enabled as an organization policy, and there is one attestor. All applications in the company are attested.
Each application's image is deployed as part of a CI/CD pipeline during a 1-hour change window at 11 PM local time. There is a new security issue that requires you to deploy a critical fix before the next change window. You have created a new image with the fix, and your manager has approved the image in an email message. What should you do?

A.Add the image to the exempt image patterns in the Binary Authorization policy.

B.Sign the image with your private key and ask the project admin to change the public key in the attestor.

C.Change the organization policy to temporarily disable Binary Authorization, and deploy the image.

D.Use the breakglass approach to deploy the image.

Professional-Cloud-Developer Exam Question 159

The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

A.Use Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.

B.Deploy the application via a continuous delivery pipeline using canary deployments. Use Cloud Monitoring to look for performance issues. and ramp up traffic as the metrics support it.

C.Deploy the application via a continuous delivery pipeline using blue/green deployments. Use Cloud Monitoring to look for performance issues, and launch fully when the metrics support it.

D.Deploy the application using kubectl and set the spec.updateStrategv.type to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

Professional-Cloud-Developer Exam Question 160

You recently migrated a monolithic application to Google Cloud by breaking it down into microservices. One of the microservices is deployed using Cloud Functions. As you modernize the application, you make a change to the API of the service that is backward-incompatible. You need to support both existing callers who use the original API and new callers who use the new API. What should you do?

A.Leave the original Cloud Function as-is and deploy a second Cloud Function with the new API.
Use a load balancer to distribute calls between the versions.

B.Leave the original Cloud Function as-is and deploy a second Cloud Function that includes only the changed API. Calls are automatically routed to the correct function.

C.Leave the original Cloud Function as-is and deploy a second Cloud Function with the new API.
Use Cloud Endpoints to provide an API gateway that exposes a versioned API.

D.Re-deploy the Cloud Function after making code changes to support the new API. Requests for both versions of the API are fulfilled based on a version identifier included in the call.

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Professional-Cloud-Developer Exam Question 156

Professional-Cloud-Developer Exam Question 157

Professional-Cloud-Developer Exam Question 158

Professional-Cloud-Developer Exam Question 159

Professional-Cloud-Developer Exam Question 160

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