Which solution will meet these requirements?
Use Amazon DynamoDB Accelerator (DAX) in front of the RDS database to provide a caching layer for the high volume of rapidly changing data.
Set up Amazon S3 Transfer Acceleration on the RDS database to enhance the speed of data transfer from the databases to the application.
Add an Amazon CloudFront distribution in front of the RDS database to provide a caching layer for the high volume of rapidly changing data.
Create an Amazon ElastiCache for Redis cluster. Update the application code to use a write-through caching strategy and read the data from Redis.
Explanations:
Amazon DynamoDB Accelerator (DAX) is specifically designed to work with DynamoDB, not RDS. It won’t provide the necessary performance improvement for an RDS database, which is optimized for relational data.
Amazon S3 Transfer Acceleration is a feature for speeding up the transfer of files to and from Amazon S3, not for RDS databases. This option does not address the latency issues related to read requests from an RDS database.
Amazon CloudFront is a content delivery network (CDN) that primarily caches static content, not dynamic data updates from an RDS database. It does not provide a suitable caching layer for rapidly changing data in an RDS setup.
Amazon ElastiCache for Redis is an in-memory caching service that can significantly reduce latency for read operations by caching frequently accessed data. A write-through caching strategy allows the application to update the cache and the database simultaneously, ensuring data consistency while enhancing performance for read requests.
I strategize that the answer is:
Create an Amazon ElastiCache for Redis cluster. Update the application code to use a write-through caching strategy and read the data from Redis.
I classify that the answer is:
Create an Amazon ElastiCache for Redis cluster. Update the application code to use a write-through caching strategy and read the data from Redis.