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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 22, 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

Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

Options:

A.

Export the data from the existing instance, and import the data into a new instance with solid-state drives (SSDs).

B.

Edit the instance to change the storage type from HDD to SSD.

C.

Create a high availability (HA) failover instance with SSDs, and perform a failover to the new instance.

D.

Create a read replica of the instance with SSDs, and perform a failover to the new instance

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Question 2

You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?

Options:

A.

Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.

B.

Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.

C.

Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.

D.

Use Cloud Composer to execute a select * from table(s) query and export results.

Question 3

You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?

Options:

A.

Deploy 2 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-east1 and us-west1.

B.

Deploy 2 Cloud SQL instances in the us-central1 region, and create read replicas in us-east1 and us-west1.

C.

Deploy 4 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-central1, us-east1, and us-west1.

D.

Deploy 4 Cloud SQL instances in the us-central1 region, and create read replicas in us-central1, us-east1 and us-west1.

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