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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:
May 15, 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

HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.

Which configuration should they choose?

Options:

A.

Use the current single instance MySQL on Compute Engine and several read-only MySQL servers on

Compute Engine.

B.

Use the current single instance MySQL on Compute Engine, and replicate the data to Cloud SQL in an

external master configuration.

C.

Replace the current single instance MySQL instance with Cloud SQL, and configure high availability.

D.

Replace the current single instance MySQL instance with Cloud SQL, and Google provides redundancy

without further configuration.

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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.net-based auth service fails under intermittent load.

What should they do?

Options:

A.

Use App Engine for autoscaling.

B.

Use Cloud Functions for autoscaling.

C.

Use a Compute Engine cluster for the service.

D.

Use a dedicated Compute Engine virtual machine instance for the service.