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 13, 2026

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Question 1

After deploying your application in Google Kubernetes Engine, you now require the release of a new version of the application. It is essential to have the capability to promptly revert to the previous version in case complications arise with the latest version.

What would be the most suitable deployment model to 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.

Answer: C

Question 2

The ecommerce application under your management handles purchase orders from customers that are subject to cancellation or modification. You have observed that there is a high degree of variability in order volumes, and the order-processing system at the backend can only handle one request at a time. Your aim is to guarantee that customers are provided with seamless performance, irrespective of usage volume. It is imperative that customers' order update requests are executed in the order in which they were received.

What actions do you need to take?

A : Send the purchase and modification requests as REST requests to the backend.

B : Use a Pub/Sub subscriber in pull mode and use a data store to handle the order.

C : Use a Pub/Sub subscriber in push mode and use a data store to handle the order.

D : Send the purchase and modification requests via WebSockets to the backend.

Answer: B

Question 3

You have recently instrumented a new application with OpenTelemetry, and you want to check the latency of your application requests in Trace. You want to ensure that a specific request is always traced. What should you do?

A : it 10 minutes, then verify that Trace captures those types of requests automatically.

B : ite a custom script that sends this type of request repeatedly from your dev project.

C : the Trace API to apply custom attributes to the trace

D : the X-Cloud-Trace-Context header to the request with the appropriate parameters

Answer: D

Question 4

Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy. Which change should you make to the GKE Deployment object shown below?

A : t the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.

B : t the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.

C : t the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.

D : t the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.

Answer: D

Question 5

The analytics system is currently facing a permission error while executing queries against a BigQuery dataset. The SQL query is executed in batch by passing the contents of a SQL file to the BigQuery CLI, which in turn redirects the output to another process. To resolve this issue, you need to identify the root cause of the permission error and take necessary steps to fix it.

What actions are recommended in this situation?

A : Create a view in BigQuery from an SQL query and SELECT* from the view in the command-line interface.

B : Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.

C : Grant the service account BigQuery Data Viewer and BigQuery Job User roles.

D : Create a new dataset in BigQuery, copy the source table to the new dataset, and query the new dataset and table from the command-line interface.

Answer: C

Page: 1 / 125

Total 623 Questions | Updated On: Jan 13, 2026

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