You have several instances doing machine learning to compute. You have all the data required for the machine learning in an S3 bucket. You need to find a high-performance storage in which all the instances can read and write data simultaneously. Which of the following options is the best suited solution for this?

Answer options:

A.FSx for Windows File Server.
B.EFS.
C. FSx for Lustre.
D.DynamoDB Accelerator.

Correct Answer: C
Option A is incorrect. FSx for Windows File Server is well suited to have a shared storage for your Windows instances. But it does not read data from S3, and it isn`t a high-performance storage. More details:
https://aws.amazon.com/fsx/windows/
Option B is incorrect. EFS is a shared storage for Linux instances. But it does not read data from S3, and it is not a high-performance storage. More details:
https://aws.amazon.com/efs/
Option C is CORRECT. FSx for Lustre is a high-performance storage. It can read data from S3 and connect to multiple instances at the same time. More details:
https://aws.amazon.com/fsx/lustre/faqs/
Option D is incorrect. DynamoDB accelerator is an in-memory cache used to increase the performance of DynamoDB. More details:
https://aws.amazon.com/dynamodb/dax/