Spring Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

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:
May 29, 2026
Exam Status:
Stable
Google Professional-Cloud-Database-Engineer

Professional-Cloud-Database-Engineer: Cloud Database Engineer Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Google Professional-Cloud-Database-Engineer (Google Cloud Certified - Professional Cloud Database Engineer) exam? Download the most recent Google Professional-Cloud-Database-Engineer braindumps with answers that are 100% real. After downloading the Google Professional-Cloud-Database-Engineer exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Cloud-Database-Engineer exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Cloud-Database-Engineer exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Cloud Certified - Professional Cloud Database Engineer) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Cloud-Database-Engineer test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Cloud-Database-Engineer practice exam demo.

Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

Question 1

You are managing a Cloud SQL for MySQL environment in Google Cloud. You have deployed a primary instance in Zone A and a read replica instance in Zone B, both in the same region. You are notified that the replica instance in Zone B was unavailable for 10 minutes. You need to ensure that the read replica instance is still working. What should you do?

Options:

A.

Use the Google Cloud Console or gcloud CLI to manually create a new clone database.

B.

Use the Google Cloud Console or gcloud CLI to manually create a new failover replica from backup.

C.

Verify that the new replica is created automatically.

D.

Start the original primary instance and resume replication.

Buy Now
Question 2

You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

Options:

A.

Restore the Cloud SQL instance from the automatic backups in region 3.

B.

Restore the Cloud SQL instance from the automatic backups in another zone in region 1.

C.

Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status usingpg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.

D.

Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .

Question 3

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.