You can review the approach before you buy. Actual4dump offers a free PDF demo for Google Cloud Certified - Professional Cloud Database Engineer, letting you sample the Professional-Cloud-Database-Engineer practice material and see how the 220-question set is presented in 2026.

Google Professional-Cloud-Database-Engineer Exam Overview:

Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Common Questions About Google Cloud Certified - Professional Cloud Database Engineer

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:

Question 1

Your online delivery business that primarily serves retail customers uses Cloud SQL for MySQL for its inventory and scheduling application. The required recovery time objective (RTO) and recovery point objective (RPO) must be in minutes rather than hours as a part of your high availability and disaster recovery design. You need a high availability configuration that can recover without data loss during a zonal or a regional failure. What should you do?

A. Set up all read replicas in a different region using asynchronous replication.
B. Set up all read replicas in the same region as the primary instance with synchronous replication.
C. Set up read replicas in different zones of the same region as the primary instance with synchronous replication, and set up read replicas in different regions with asynchronous replication.
D. Set up read replicas in different zones of the same region as the primary instance with asynchronous replication, and set up read replicas in different regions with synchronous replication.

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-

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 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.
D. 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.

Question 3

Your retail company is currently using DynamoDB to store product catalog data. Due to increasing data volumes and the need for better scalability, cost efficiency, and AI features; you have decided to migrate your data to Bigtable. You want a cost-effective migration, with minimal downtime and minimal effort, while ensuring data consistency between the two databases. What should you do-

A. Develop a custom script using the DynamoDB and Bigtable APIs to directly transfer data between the two databases.
B. Export the DynamoDB data to CSV files, upload them to Cloud Storage, and use the cbtCLI to import the data into Bigtable.
C. Use Dataproc to export the data from DynamoDB and load it into Bigtable.
D. Create a Dataflow pipeline using the DynamoDBIO and BigtableIO connectors to stream data from DynamoDB to Bigtable in near real time.

Question 4

An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?

A. roles/cloudsql.editor and roles/spanner.admin
B. roles/cloudsql.client and roles/spanner.databaseReader
C. roles/cloudsql.viewer and roles/spanner.databaseUser
D. roles/cloudsql.instanceUser and roles/spanner.databaseUser

Question 5

You have several on-premises Percona Server for MySQL 8.0 instances used for mission-critical applications. The workload is read-heavy with 80%+ reads and each instance has several TBs of data. You want to migrate to Google Cloud with minimal downtime and the fewest changes possible.
What should you do-

A. Use Datastream to migrate to Cloud SQL Enterprise
B. Use Database Migration Service to migrate to Cloud SQL Enterprise Plus.
C. Use Database Migration Service to migrate to Alloy DB.
D. Use the spanner-migration-tool to migrate to Spanner.

Solutions: