2026 Google - Professional-Cloud-Database-Engineer - Lab Google Cloud Certified - Professional Cloud Database Engineer Questions

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Google Professional-Cloud-Database-Engineer certification exam is designed for individuals who are interested in demonstrating their expertise in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. Professional-Cloud-Database-Engineer Exam is intended for database professionals who have experience with Google Cloud SQL, Cloud Spanner, and Cloud Bigtable, among other Google Cloud database services.

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Google Professional-Cloud-Database-Engineer certification is a valuable credential for professionals seeking to advance their careers in the cloud database industry. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates to potential employers that the candidate has the skills and knowledge required to design, develop, and manage cloud-based databases on Google Cloud Platform. Additionally, becoming a Google Cloud Certified Professional-Cloud-Database-Engineer can lead to higher salaries, better job opportunities, and increased job security.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q23-Q28):

NEW QUESTION # 23
You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?

A. Use Cloud SQL with read replicas for throughput.
B. Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.
C. Use Bigtable, and add nodes as necessary to achieve the required throughput.
D. Use Firestore, and rely on automatic serverless scaling.

Answer: C

Explanation:
https://cloud.google.com/memorystore/docs/redis/redis-overview

NEW QUESTION # 24
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?

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 .

Answer: C

Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 25
Your organization has strict policies on tracking rollouts to production and periodically shares this information with external auditors to meet compliance requirements. You need to enable auditing on several Cloud Spanner databases. What should you do?

A. Use Liquibase to roll out changes to higher environments.
B. Manually capture detailed DBA audit logs when changes are rolled out to higher environments.
C. Use backup and restore to roll out changes to higher environments.
D. Use replication to roll out changes to higher environments.

Answer: A

Explanation:
To satisfy audit reporting you would need a way to record what was changed and when. The best answer is one which uses some kind of source code control system (SCCS). That rules out A and B. Any mention of anything manual in a cloud environment should look suspicious, which leave option C. As it happens, Liquibase is an SCCS and can be integrated with Spanner. https://cloud.google.com/spanner/docs/use-liquibase

NEW QUESTION # 26
You have a Cloud SQL for MySQL Enterprise instance with four read replicas. Your next scheduled maintenance event is scheduled tomorrow at 6-PM. Your security team identifies an important security vulnerability. You are notified by your management at 8-PM today to update your primary instance and all four read replicas during approved business downtime today at 11- PM. What should you do-

A. Perform self-service maintenance on the selected read replicas.
B. Reschedule the upcoming scheduled maintenance to happen today at 11-PM.
C. Reschedule the upcoming scheduled maintenance of the primary instance to apply updates immediately.
D. Perform self-service maintenance on the primary instance during scheduled business downtime.

Answer: D

Explanation:
Cloud-SQL's self-service maintenance feature lets you manually apply updates on demand-so you can patch the primary instance at 11-PM during your approved downtime rather than waiting for tomorrow's window. Once the primary is updated and rebooted, you then repeat self-service maintenance on each read replica. This approach addresses the security vulnerability immediately while still operating within the agreed downtime.

NEW QUESTION # 27
You are designing a new gaming application that uses a highly transactional relational database to store player authentication and inventory data in Google Cloud. You want to launch the game in multiple regions. What should you do?

A. Use Bigtable with clusters in multiple regions to deploy the database
B. Use Cloud Spanner to deploy the database.
C. Use BigQuery to deploy the database
D. Use Cloud SQL with a regional read replica to deploy the database.

Answer: B

Explanation:
Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, automatic, synchronous replication for high availability, and support for two SQL dialects: Google Standard SQL (ANSI 2011 with extensions) and PostgreSQL.

NEW QUESTION # 28
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