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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:
Nov 30, 2025
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 application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/*

endpoints.

What should you do?

Options:

A.

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

B.

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

C.

Export the logs to Cloud Storage and count lines matching /api/alphA.

D.

Export the logs to Cloud Pub/Sub and count lines matching /api/alphA.

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Question 2

For this question, refer to the HipLocal case study.

How should HipLocal increase their API development speed while continuing to provide the QA team with a stable testing environment that meets feature requirements?

Options:

A.

Include unit tests in their code, and prevent deployments to QA until all tests have a passing status.

B.

Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.

C.

Create health checks for the QA environment, and redeploy the APIs at a later time if the environment is unhealthy.

D.

Redeploy the APIs to App Engine using Traffic Splitting. Do not move QA traffic to the new versions if errors are found.

Question 3

HipLocal’s data science team wants to analyze user reviews.

How should they prepare the data?

Options:

A.

Use the Cloud Data Loss Prevention API for redaction of the review dataset.

B.

Use the Cloud Data Loss Prevention API for de-identification of the review dataset.

C.

Use the Cloud Natural Language Processing API for redaction of the review dataset.

D.

Use the Cloud Natural Language Processing API for de-identification of the review dataset.