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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:
Cloud Developer
Vendor:
Google
Questions:
265
Last Updated:
Nov 26, 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

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Question 1

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.

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Question 2

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.

Question 3

You are developing a marquee stateless web application that will run on Google Cloud. The rate of the incoming user traffic is expected to be unpredictable, with no traffic on some days and large spikes on other days. You need the application to automatically scale up and down, and you need to minimize the cost associated with running the application. What should you do?

Options:

A.

Build the application in Python with Firestore as the database. Deploy the application to Cloud Run.

B.

Build the application in C# with Firestore as the database. Deploy the application to App Engine flexible environment.

C.

Build the application in Python with CloudSQL as the database. Deploy the application to App Engine standard environment.

D.

Build the application in Python with Firestore as the database. Deploy the application to a Compute Engine managed instance group with autoscaling.

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