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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 27, 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 retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

Options:

A.

Watch Query Insights for long running queries.

B.

Watch the Cloud SQL instance monitor for CPU utilization metrics.

C.

Watch the Cloud SQL recommenders for overprovisioned instances.

D.

Watch Cloud Trace for application requests that are failing.

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Question 2

Your company has PostgreSQL databases on-premises and on Amazon Web Services (AWS). You are planning multiple database migrations to Cloud SQL in an effort to reduce costs and downtime. You want to follow Google-recommended practices anduse Google native data migration tools. You also want to closely monitor the migrations as part of the cutover strategy. What should you do?

Options:

A.

Use Database Migration Service to migrate all databases to Cloud SQL.

B.

Use Database Migration Service for one-time migrations, and use third-party or partner tools for change data capture (CDC) style migrations.

C.

Use data replication tools and CDC tools to enable migration.

D.

Use a combination of Database Migration Service and partner tools to support the data migration strategy.

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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