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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:
Vendor:
Questions:
141
Last Updated:
May 6, 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

Question 1

You are migrating critical production database from Amazon RDS for MySQL to Cloud SQL for MYSQL by using Google Cloud’s Migration Service.

You want to keep disruption to your production database to minimum and, at the same time, optimize migration performance. What should you do?

Options:

A.

Create and start multiple Database Migration Service jobs to migrate your database to the target Cloud SQL for MySQL instance.

B.

Upgrade the Amazon RDS for MySQL primary instance to an instance with more vCPUs and memory, and then run Google Cloud's Database Migration Service.

C.

Create a single Database Migration Service migration job with initial load parallelism configured to maximum on the source Amazon RDS for MySQL read replica.

D.

Create a single Database Migration Service migration job with initial Load Parallelism configured to Maximum on the Amazon RDS for MySQL primary instance.

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Question 2

You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

Options:

A.

Create a VM in Compute Engine, and run a cron job.

B.

Create a Cloud Composer instance, and create a directed acyclic graph (DAG).

C.

Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.

D.

Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.

Question 3

You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached data. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

Options:

A.

Use Firestore and ensure that the PersistenceEnabled option is set to true.

B.

Use Memorystore for Memcached.

C.

Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.

D.

Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.