36. The engineering team at an in-home fitness company is evaluating multiple in-memory data stores with the ability to power its on-demand, live leaderboard. The company’s leaderboard requires high availability, low latency. and real-time processing to deliver customizable user data for the community of users working out together virtually from the comfort of their home. As a solutions architect, which of the following solutions would you recommend? (Select two)
A. Power the on-demand, live leaderboard using DynamoDB as it meets the in-memory, high availability, low latency requirements
B. Power the on-demand, live leaderboard using ElastiCache Redis as it meets the in-memory, high availability, low latency requirements
C. Power the on-demand, live leaderboard using AWS Neptune as it meets the in-memory, high availability, low latency requirements
D. Power the on-demand, live leaderboard using DynamoDB with DynamoDB Accelerator (DAX) as it meets the in-memory, high availability, low latency requirements
E. Power the on-demand, live leaderboard using RDS Aurora as it meets the in-memory, high availability, low latency requirements