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Google Professional-Cloud-Developer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-Developer
Exam Name:
Google Certified Professional - Cloud Developer
Certification:
Vendor:
Questions:
265
Last Updated:
Feb 11, 2026
Exam Status:
Stable
Google Professional-Cloud-Developer

Professional-Cloud-Developer: Cloud Developer Exam 2025 Study Guide Pdf and Test Engine

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Google Certified Professional - Cloud Developer Questions and Answers

Question 1

Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team. Which command should you run?

Options:

A.

gsutil test –o output.json gs://my-bucket

B.

gsutil perfdiag –o output.json gs://my-bucket

C.

gcloud compute scp example-instance:~/test-data –o output.json gs://my-bucket

D.

gcloud services test –o output.json gs://my-bucket

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Question 2

Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible.

What should you do?

Options:

A.

Deploy your application on Cloud Run. Use traffic splitting to direct a subset of user traffic to the new version based on the revision tag.

B.

Deploy your application on Google Kubernetes Engine with Anthos Service Mesh. Use traffic splitting to direct a subset of user traffic to the new version based on the user-agent header.

C.

Deploy your application on App Engine. Use traffic splitting to direct a subset of user traffic to the new version based on the IP address.

D.

Deploy your application on Compute Engine. Use Traffic Director to direct a subset of user traffic to the new version based on predefined weights.

Question 3

You have an application deployed in Google Kubernetes Engine (GKE). You need to update the application to make authorized requests to Google Cloud managed services. You want this to be a one-time setup, and you need to follow security best practices of auto-rotating your security keys and storing them in an encrypted store. You already created a service account with appropriate access to the Google Cloud service. What should you do next?

Options:

A.

Assign the Google Cloud service account to your GKE Pod using Workload Identity.

B.

Export the Google Cloud service account, and share it with the Pod as a Kubernetes Secret.

C.

Export the Google Cloud service account, and embed it in the source code of the application.

D.

Export the Google Cloud service account, and upload it to HashiCorp Vault to generate a dynamic service account for your application.