Free Google Professional-Cloud-Developer Exam Questions

Become Google Certified with updated Professional-Cloud-Developer exam questions and correct answers

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Total 623 Questions | Updated On: Oct 28, 2025

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Question 1

You migrated your applications to Google Cloud Platform and kept your existing monitoring platform. You now find that your notification system is too slow for time critical problems. What should you do?

A : place your entire monitoring platform with Stackdriver.

B : tall the Stackdriver agents on your Compute Engine instances.

C : Stackdriver to capture and alert on logs, then ship them to your existing platform.

D : grate some traffic back to your old platform and perform AB testing on the two platforms concurrently.

Answer: B

Question 2

A public API must be created that can authenticate, enforce quotas, and report metrics for API callers.

What is the recommended tool to use for finishing this architecture?

A : App Engine

B : Identity-Aware Proxy

C : GKE Ingress for HTTP(S) Load Balancing

D : Cloud Endpoints

Answer: C

Question 3

Your application will be deployed on a Compute Engine instance that will communicate with Cloud SQL. In order to allow communication between the application and the database using the service account associated with the instance, you will use Cloud SQL Proxy. It is recommended by Google to provide minimum access for the role assigned to the service account, which you intend to follow as a best practice.

What actions do you recommend taking?

A : Assign the Project Editor role.

B : Assign the Cloud SQL Client role.

C : Assign the Project Owner role.

D : Assign the Cloud SQL Editor role.

Answer: B

Question 4

You work at a rapidly growing financial technology startup. You manage the payment processing application

written in Go and hosted on Cloud Run in the Singapore region (asia-southeast1). The payment processing

application processes data stored in a Cloud Storage bucket that is also located in the Singapore region.

The startup plans to expand further into the Asia Pacific region. You plan to deploy the Payment Gateway in

Jakarta, Hong Kong, and Taiwan over the next six months. Each location has data residency requirements that

require customer data to reside in the country where the transaction was made. You want to minimize the cost

of these deployments. What should you do?

A : eate a Cloud Storage bucket in each region, and create a Cloud Run service of the payment processing application in each region

B : eate a Cloud Storage bucket in each region, and create three Cloud Run services of the payment processing application in the Singapore region.

C : Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run services of the payment processing application in the Singapore region

D : eate three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run revisions of the payment processing application in the Singapore region.

Answer: A

Question 5

A CI/CD pipeline is being developed, which includes a version control system, Cloud Build, and Container Registry. Whenever a new tag is added to the repository, a Cloud Build job is activated. This job performs unit tests on the latest code, creates a new Docker container image, and saves it to the Container Registry. The final phase of the pipeline is to deploy the updated container to the production Google Kubernetes Engine (GKE) cluster.

What options are available to choose a tool and deployment strategy that satisfies these conditions:

• No downtime should be experienced

• Automated testing should be comprehensive

• Testing before release should be possible

• Quick rollbacks should be supported

A : Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if successful, deploy the container to production.

B : Trigger a Cloud Build job that utilizes Kubernetes CLI tools to deploy your new container to your GKE cluster, allowing for a canary test.

C : Trigger a Cloud Build job that utilizes Kubernetes CLI tools to deploy your new container to your GKE cluster, allowing for a shadow test.

D : Trigger a Spinnaker pipeline configured as a canary test of your new code and, if successful, deploy the container to production.

Answer: C

Page: 1 / 125

Total 623 Questions | Updated On: Oct 28, 2025

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