Google Professional Cloud Database Engineer Question 1
Select 4Google Cloud PlatformYou are tasked with planning the database capacity for a new e-commerce application that expects significant traffic during holiday seasons. The database will store customer orders, product catalogs, and user session data. Which factors should you consider during the database capacity and usage planning process?
- A
Expected read and write throughput during peak periods
- B
Available budget for database infrastructure
- C
Projected data growth over time
- D
The geographical distribution of application users
- E
The programming language used to develop the application
- F
The type of encryption used for data storage
Show answer and explanation
Correct answers: A, B, C, D
Explanation
Database capacity and usage planning involves analyzing factors such as expected workload, budget, data growth, and user distribution to ensure the database can meet current and future demands. These considerations directly impact the database's performance, scalability, and cost-effectiveness, while irrelevant factors like programming language and encryption type do not play a role in capacity planning.
- A. Correct.
Considering the expected read and write throughput during peak periods is essential to ensure the database can handle the load without performance degradation.
- B. Correct.
Budget constraints are critical as they determine the scalability and type of database infrastructure you can provision.
- C. Correct.
Projected data growth over time helps in planning for scalability, storage requirements, and avoiding capacity shortfalls in the future.
- D. Correct.
Understanding the geographical distribution of users ensures the database can be optimized for low latency and high availability across regions.
- E. Incorrect.
The programming language used to develop the application does not directly impact database capacity and usage planning.
- F. Incorrect.
While encryption is important for security, it does not directly affect capacity and usage planning for the database.