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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:
Apr 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

Question 1

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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Question 2

You are running a large, highly transactional application on Oracle Real Application Cluster (RAC) that is multi-tenant and uses shared storage. You need a solution that ensures high-performance throughput and a low-latency connection between applications and databases. The solution must also support existing Oracle features and provide ease of migration to Google Cloud. What should you do?

Options:

A.

Migrate to Compute Engine.

B.

Migrate to Bare Metal Solution for Oracle.

C.

Migrate to Google Kubernetes Engine (GKE)

D.

Migrate to Google Cloud VMware Engine

Question 3

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.