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: Mar 24, 2026

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Question 1

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 2

You have an application deployed in production. When a new version is deployed, some issues don't arise until the application receives traffic from users in production. You want to reduce both the impact and the number of users affected. Which deployment strategy should you use?

A : Blue/green deployment

B : nary deployment

C : lling deployment

D : create deployment

Answer: A

Question 3

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 4

The new version of your containerized application has been tested and is ready to deploy to production on Google Kubemetes 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 : Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.

B : ploy 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 : ploy 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 : ploy 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.

Answer: A

Question 5

Your application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/* endpoints. What should you do?

A : a Stackdriver counter metric for path:/api/alpha/.

B : a Stackdriver counter metric for endpoint:/api/alpha/*.

C : port the logs to Cloud Storage and count lines matching /api/alpha.

D : port the logs to Cloud Pub/Sub and count lines matching /api/alpha.

Answer: C

Page: 1 / 125

Total 623 Questions | Updated On: Mar 24, 2026

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