First requirement is you need a simple method of backing up Amazon EBS volumes and it needs to befully automated.

Well, of course, for this one, you can use Data Lifecycle Manager to create a backup schedule.

A distributed application has many nodes that each hold a copy of data that is synchronized betweenthem, and you need the best performance for your storage subsystem.

Well, in this case, you could use instance stores for storing the data. That would give you great performance

use instance stores for storing the data. That would give you great performance

An application must start out quickly when launched by an ASG, but requires app dependencies and codeto be installed.

Well, in this case, you can create an AMI that includes the application dependencies and code.

Many Linux instances must be attached to a shared file system that scales elastically.

use an EFS file system and mount from each instance.

A company requires a managed file system that uses the NTFS file system.

So in this case, you could use Amazon FSx for Windows File Server.

On-premises servers must be able to attach a block storage system locally, and the data should bebacked up to S3 as snapshots.

For this, you can use a storage gateway, volume gateway that's in stored volume mode.

An Amazon EBS volume must be moved between regions.

Well, for this, you can take a snapshot and copy the snapshot between regions.

Root EBS volumes for critical application must not be deleted on termination.

This is simply a case of modifying the delete on termination attribute when you launch the instances.

On-premises servers use NFS to attach a file system, the file system should be replaced with an AWSservice that uses S3 with a local cache.

Well, for this, you can use a storage gateway, file gateway and that will give you the local cache