Online Access Free Professional-Cloud-Database-Engineer Exam Questions
Exam Code: | Professional-Cloud-Database-Engineer |
Exam Name: | Google Cloud Certified - Professional Cloud Database Engineer |
Certification Provider: | |
Free Question Number: | 144 |
Posted: | Sep 17, 2025 |
Your team recently released a new version of a highly consumed application to accommodate additional user traffic. Shortly after the release, you received an alert from your production monitoring team that there is consistently high replication lag between your primary instance and the read replicas of your Cloud SQL for MySQL instances. You need to resolve the replication lag. What should you do?
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
Work with transactions and offer strong consistency.
Work with structured and semi-structured (JSON) data.
Scale transparently to multiple regions globally as the operation grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?
You are deploying a Cloud SOL for MySQL database to serve a non-critical application. The database size is
10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read- only traffic from the application during the day. The data locally requirement of This application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do?
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure.
You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?
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?