Google Professional Cloud Developer Question 41
Single answerGoogle Cloud PlatformYou are developing a web application on Google Cloud that experiences high traffic and frequent read requests for certain data. The application uses a Cloud SQL database for persistent storage. To reduce latency and offload some of the database traffic, you are considering implementing a caching solution. Which caching solution offers the best performance and is suitable for this use case?
- A
Use Memorystore for Redis to store frequently accessed data in memory.
- B
Enable query caching in Cloud SQL to optimize database performance.
- C
Use Cloud Storage to cache database query results.
- D
Implement a custom in-memory cache using Compute Engine virtual machines.
Show answer and explanation
Correct answer: A
Explanation
Memorystore for Redis is the best choice for a high-performance caching solution in this scenario. It is a fully managed service that is optimized for low-latency and high-throughput applications, making it ideal for reducing latency and offloading read traffic from the Cloud SQL database. Other options either lack the necessary performance characteristics or require significantly more effort to implement.
- A. Correct.
Memorystore for Redis is a fully managed, in-memory caching solution that provides low-latency access to frequently accessed data, making it ideal for this scenario. It integrates well with Google Cloud services and is specifically designed for caching use cases.
- B. Incorrect.
While query caching in Cloud SQL can improve database performance to some extent, it does not provide the same level of low-latency response or scalability as a dedicated caching solution like Memorystore.
- C. Incorrect.
Cloud Storage is not optimized for low-latency caching; it is designed for durable, long-term storage. Using it as a cache would result in higher latency compared to an in-memory solution.
- D. Incorrect.
Implementing a custom in-memory cache using Compute Engine virtual machines is a less efficient and more complex approach than using a managed service like Memorystore for Redis.