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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:
Dec 12, 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

Your team is developing an ecommerce platform for your company. Users will log in to the website and add items to their shopping cart. Users will be automatically logged out after 30 minutes of inactivity. When users log back in, their shopping cart should be saved. How should you store users’ session and shopping cart information while following Google-recommended best practices?

Options:

A.

Store the session information in Pub/Sub, and store the shopping cart information in Cloud SQL.

B.

Store the shopping cart information in a file on Cloud Storage where the filename is the SESSION ID.

C.

Store the session and shopping cart information in a MySQL database running on multiple Compute Engine instances.

D.

Store the session information in Memorystore for Redis or Memorystore for Memcached, and store the shopping cart information in Firestore.

Question 3

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.

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