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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:
Feb 21, 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 need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

Options:

A.

Configure Firestore, and modify your application to offload queries.

B.

Configure Bigtable, and modify your application to offload queries.

C.

Configure Cloud SQL for PostgreSQL read replicas to offload queries.

D.

Configure Memorystore, and modify your application to offload queries.

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Question 2

You currently have a MySQL database running on Cloud SQL with a read replica in a different zone for non-mission critical analytics workloads. You want to enable high availability (HA) for the analytic workloads while keeping costs low. What should you do?

Options:

A.

Increase the size of the read replica Instance and enable MA.

B.

Enable HA on the current read replica.

C.

Create a new HA instance in the same zone db lie primary.

D.

Create a new MA Instance in a different region than the primary.

Question 3

You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?

Options:

A.

Deploy the database using Cloud SQL.

B.

Use BigQuery, and load data in batches.

C.

Deploy the database using Bigtable.

D.

Deploy the database using Cloud Spanner.

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