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| Vendor: | |
|---|---|
| Exam Code: | Professional-Cloud-Database-Engineer |
| Exam Name: | Professional Cloud Database Engineer |
| Exam Questions: | 141 |
| Last Updated: | August 23, 2026 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: | Professional Database EngineersCloud Architectsand Data Professionals |
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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?
You are designing a database strategy for a new web application in one region. You need to minimize write latency. What should you do?
You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat
a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?
Bigtable is a scalable, fully managed, and high-performance NoSQL database service that can handle semi-structured data and support real-time monitoring and analysis. Cloud SQL is a relational database service that does not support semi-structured dat
a. BigQuery is a data warehouse service that is optimized for batch processing and analytics, not real-time monitoring. Cloud Spanner is a relational database service that supports semi-structured data with JSON data type, but it is more expensive and complex than Bigtable for this use case.
You host an application in Google Cloud. The application is located in a single region and uses Cloud SQL for transactional dat
a. Most of your users are located in the same time zone and expect the application to be available 7 days a week, from 6 AM to 10 PM. You want to ensure regular maintenance updates to your Cloud SQL instance without creating downtime for your users. What should you do?
Configure a maintenance window during a period when no users will be on the system. Control the order of update by setting non-production instances to earlier and production instances to later.
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