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An application is currently using an encrypted Amazon RDS for MySQL DB instance to store personal health information (PHI). The developer aims to enhance the application's performance by implementing a caching mechanism for frequently accessed data. Additionally, the developer wants to include functionality to sort or rank the cached datasets. Given the requirement that the PHI must remain encrypted at all times, what is the optimal approach to achieve these goals?
Explanation:
Store the frequently accessed data in an Amazon ElastiCache for Redis instance with encryption enabled for data in transit and at rest
Amazon ElastiCache for Redis is a Redis-compatible in-memory data structure service that can be used as a data store or cache. It delivers the ease of use and power of Redis along with the availability, reliability, scalability, security, and performance suitable for the most demanding applications.
In addition to strings, Redis supports lists, sets, sorted sets, hashes, bit arrays, and hyperlog logs. Applications can use these more advanced data structures to support a variety of use cases. For example, you can use Redis Sorted Sets to easily implement a game leaderboard that keeps a list of players sorted by their rank.
Incorrect options:
Store the frequently accessed data in an Amazon ElastiCache for Memcached instance with encryption enabled for data in transit and at rest - Memcached is designed for simplicity and it does not offer support for advanced data structures and operations such as sort or rank.