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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:
Dec 4, 2025
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 are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You need to test the high availability of your Cloud SQL instance by performing a failover. You want to use the cloud command.

What should you do?

Options:

A.

Use gcloud sql instances failover .

B.

Use gcloud sql instances failover .

C.

Use gcloud sql instances promote-replica .

D.

Use gcloud sql instances promote-replica .

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Question 2

Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?

Options:

A.

Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.

B.

Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.

C.

Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.

D.

Create an external replica, and use Cloud SQL to synchronize the data to the replica.

Question 3

Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow.You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

Options:

A.

Create secondary indexes on the replica.

B.

Create additional read replicas, and partition your analytics users to use different read replicas.

C.

Disable replication on the read replica, and set the flag for parallel replication on the read replica. Re-enable replication and optimize performance by setting flags on the primary instance.

D.

Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.

E.

Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.

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