SOA-C02 Question 64
Single answerA company runs a high-traffic e-commerce website and notices significant latency when serving frequently accessed product catalog data from its backend database. As a SysOps Administrator, you are tasked with reducing the latency while ensuring scalability and cost-effectiveness. Which solution is the most suitable for implementing caching in this scenario?
- A
Use Amazon ElastiCache to cache the product catalog data in-memory, reducing the load on the backend database.
- B
Enable caching at the Amazon RDS layer to store the product catalog data directly in the database cache.
- C
Use an Amazon S3 bucket to store the product catalog data and enable S3 Transfer Acceleration for caching.
- D
Deploy an Amazon CloudFront distribution in front of the backend database to cache database query results.
Show answer and explanation
Correct answer: A
Explanation
The best solution for reducing latency and improving performance for frequently accessed data is to use Amazon ElastiCache. ElastiCache provides in-memory caching with high throughput and low latency, making it ideal for offloading frequently accessed data from backend databases. This ensures scalability and reduces database load, addressing the performance issue in the scenario effectively.
- A. Correct.
Using Amazon ElastiCache is the most suitable solution for caching frequently accessed data in-memory. It is designed to reduce latency and offload database workload by providing an in-memory data store.
- B. Incorrect.
Amazon RDS does not provide a built-in caching layer for query results. While RDS is optimized for database performance, caching needs to be implemented separately.
- C. Incorrect.
Amazon S3 is not suitable for in-memory caching. S3 is an object storage service, and S3 Transfer Acceleration is designed for speeding up data transfers, not caching frequently accessed data.
- D. Incorrect.
Amazon CloudFront is a Content Delivery Network (CDN) primarily used for distributing static and dynamic web content. It cannot cache database query results directly.