What should a solutions architect do to improve the performance of the data tier?
Take a snapshot of the existing DB instance. Restore the snapshot with Multi-AZ enabled.
Migrate from Amazon RDS to Amazon Elasticsearch Service (Amazon ES) with Kibana.
Deploy Amazon DynamoDB Accelerator (DAX) in front of the existing DB instance. Modify the game to use DAX.
Deploy an Amazon ElastiCache for Redis cluster in front of the existing DB instance. Modify the game to use Redis.
Explanations:
Taking a snapshot and restoring with Multi-AZ enabled can improve availability and fault tolerance, but it does not address performance issues related to read and write operations during peak usage. Multi-AZ deployments primarily help with high availability rather than scaling performance.
Migrating to Amazon Elasticsearch Service (Amazon ES) is not suitable for location tracking and rapid updates of player locations. Elasticsearch is optimized for search use cases rather than transactional workloads that require frequent updates and low-latency reads and writes.
Deploying Amazon DynamoDB Accelerator (DAX) in front of the existing DB instance is not applicable since DAX is specifically designed for use with DynamoDB, not with RDS for PostgreSQL. This option does not align with the existing database technology.
Deploying an Amazon ElastiCache for Redis cluster in front of the existing DB instance can significantly improve performance by caching frequently accessed location data. Redis is optimized for high-speed read and write operations, which is suitable for the rapidly changing location data in a multiplayer game. This caching layer can reduce the load on the RDS instance, enhancing overall performance.
I assess that the answer is:
Deploy an Amazon ElastiCache for Redis cluster in front of the existing DB instance. Modify the game to use Redis.