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: Jan 15, 2026

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Question 1

Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B. You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing. What should you do?

A : ploy the Pub/Sub and Cloud Run emulators on your local machine. Deploy the application locally, and change the logging level in the application to DEBUG or INFO. Write mock messages to topic A, and then analyze the logs.

B : the gcloud CLI to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

C : ploy the Pub/Sub emulator on your local machine. Point the production application to your local Pub/Sub topics. Write mock messages to topic A, and then analyze the logs.

D : the Google Cloud console to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.

Answer: C

Question 2

What is the first step to post a message within a Pub/Sub topic?

A : Assign necessary permissions to the service account

B : Create a topic within Pub/Sub

C : Implement the code to publish a message

D : Install the Pub/Sub library

Answer: B

Question 3

What options does the Query builder section provide for filtering logs?

A : Time of day

B : Resource type, Log name, Severity level

C : Log type

D : Location

Answer: B

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

The application on Google Kubernetes Engine (GKE) is currently using a logging library and outputting to standard output. To export the logs to Cloud Logging, including metadata about each request, the simplest method will be used.

What actions are recommended?

A : Change your application's logging library to the Cloud Logging library, and configure your application to export logs to Cloud Logging.

B : Update your application to output logs in JSON format, and include the required metadata in the JSON.

C : Modify your application to output logs in CSV format, and add the necessary metadata to the CSV.

D : Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/log.

Answer: C

Page: 1 / 125

Total 623 Questions | Updated On: Jan 15, 2026

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