Google Professional Cloud Database Engineer Question 3
Select 3Google Cloud PlatformYour team is planning to migrate an on-premises transactional database to Google Cloud. To ensure proper database capacity and usage planning, which factors should you analyze to predict the database's performance and scalability requirements in the cloud?
- A
The expected query patterns and their frequency
- B
The projected growth rate of data over the next several years
- C
The region where your users are primarily located
- D
The number of concurrent database connections expected during peak usage
- E
The programming languages used by the application accessing the database
- F
The current on-premises database's maintenance schedule
Show answer and explanation
Correct answers: A, B, D
Explanation
Proper database capacity and usage planning requires analyzing factors that directly impact the database's performance, scalability, and resource needs. Query patterns, data growth rates, and the number of concurrent connections are key variables that help predict future requirements. Other factors like the application’s programming languages or the on-premises maintenance schedule do not contribute to capacity and usage planning and are therefore not relevant in this context.
- A. Correct.
Analyzing query patterns and their frequency is crucial to understanding how to optimize database performance and provision resources in the cloud effectively.
- B. Correct.
Projecting the data growth rate helps ensure adequate storage and scalability planning for the future, preventing capacity issues.
- C. Incorrect.
While the region is important for latency optimization, it is not directly tied to capacity or usage planning for the database itself.
- D. Correct.
The number of concurrent connections during peak usage directly impacts database performance and helps determine the necessary instance size and resource allocation.
- E. Incorrect.
While programming languages affect application integration, they are not directly tied to database capacity or usage planning.
- F. Incorrect.
The on-premises maintenance schedule is irrelevant for capacity and usage planning in the cloud, as cloud databases typically handle maintenance differently.