Both Amazon S3 File Gateway and AWS DataSync are suitable for this scenario. But there is a requirement for 'LEAST administrative overhead'. Option C involves the creation of an entirely new application to consume the DataSync API, this rules out this option.

Key words: 1. near-real-time (A is out) 2. LEAST administrative (C n D is out)

This option has the least administrative overhead because: Using DataSync avoids having to rewrite the business system to use a new file gateway or SFTP endpoint. Calling the DataSync API from an application allows automating the data transfer instead of running scheduled tasks or scripts. DataSync directly transfers files from the network share to S3 without needing an intermediate server

B. Data Sync is better for one time migrations.

The correct solution here is: B. Create an Amazon S3 File Gateway. Update the business system to use a new network share from the S3 File Gateway. This option requires the least administrative overhead because: - It presents a simple network file share interface that the business system can write to, just like a standard network share. This requires minimal changes to the business system. - The S3 File Gateway automatically uploads all files written to the share to an S3 bucket in the background. This handles the transfer and upload to S3 without requiring any scheduled tasks, scripts or automation. - All ongoing management like monitoring, scaling, patching etc. is handled by AWS for the S3 File Gateway.

A - creating a scheduled task is not near-real time. B - The S3 File Gateway caches frequently accessed data locally and automatically uploads it to Amazon S3, providing near-real-time access to the data. C - creating an application that uses the DataSync API in the automation workflow may provide near-real-time data access, but it requires additional development effort. D - it requires additional development effort.

It's B. DataSync has a scheduler and it runs on hour intervals, it cannot be used real-time

The correct answer is C. Use AWS DataSync to transfer the files to Amazon S3. Create an application that uses the DataSync API in the automation workflow. To store the CSV reports generated by the business system in the AWS Cloud in near-real time for analysis, the best solution with the least administrative overhead would be to use AWS DataSync to transfer the files to Amazon S3 and create an application that uses the DataSync API in the automation workflow. AWS DataSync is a fully managed service that makes it easy to automate and accelerate data transfer between on-premises storage systems and AWS Cloud storage, such as Amazon S3. With DataSync, you can quickly and securely transfer large amounts of data to the AWS Cloud, and you can automate the transfer process using the DataSync API.

I think B is the better answer, "LEAST administrative overhead" https://aws.amazon.com/storagegateway/file/?nc1=h_ls

B - S3 File Gateway. C - this is wrong answer because data migration is scheduled (this is not continuous task), so condition "near-real time" is not fulfilled

C is the best ans