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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:
May 4, 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 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.

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Question 2

You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.

You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

Options:

A.

Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage.

Upload the changes into BigQuery, and merge them with existing tables.

B.

Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.

C.

Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.

D.

Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.

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.

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