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Google Professional-Cloud-Database-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-Database-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud Database Engineer
Certification:
Cloud Database Engineer
Vendor:
Google
Questions:
141
Last Updated:
Jan 26, 2026
Exam Status:
Stable
Google Professional-Cloud-Database-Engineer

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

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Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

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Question 1

You are managing a mission-critical Cloud SQL for PostgreSQL instance. Your application team is running important transactions on the database when another DBA starts an on-demand backup. You want to verify the status of the backup. What should you do?

Options:

A.

Check the cloudsql.googleapis.com/postgres.log instance log.

B.

Perform the gcloud sql operations list command.

C.

Use Cloud Audit Logs to verify the status.

D.

Use the Google Cloud Console.

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Question 2

You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?

Options:

A.

Automate instance creation by writing a Dataflow job.

B.

Automate instance creation by setting up Terraform scripts.

C.

Create the instances using the Google Cloud Console UI.

D.

Create clones from a template Cloud SQL instance.

Question 3

Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

Options:

A.

Normalize the database to the third normal form.

B.

Compress the data using a different compression algorithm.

C.

Manually or automatically increase the storage capacity.

D.

Create another schema to load older data.

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