I need to upload a large number of large-size objects from different Geographic locations to an S3 bucket. What is the best mechanism to do so in a fast & reliable way?

Answer options:

A.I can connect to an application running on AWS EC2 that is hosted in multiple regions using Route 53 & use latency based routing to upload files to the S3 bucket.
B.I can use a Direct Connect link from each of the Geographic location for transferring data quickly.
C.I can use S3 Transfer Acceleration from each Geographic location that will route the data from their respective Edge locations to S3.
D.I can directly access the S3 bucket from the different locations & use a multi-part-upload for transferring huge objects.

Answer: C
Option A is incorrect since Route 53 latency routing only calculates latency between different endpoints based on the Internet traffic & location proximity rather than optimizing the network for fast data transfers.
Option B is incorrect since Direct Connect is used for very specific purposes like extreme security requirements for the data transfer. Also, establishing multiple Direct Connect infrastructures would be expensive from a cost standpoint.
Option C is CORRECT. The best way to address this scenario is to route the requests to the nearest CloudFront edge location from the different Geographic locations. Edge locations provide a fast network infrastructure bypassing much of the internet for delivering content to S3 destinations. Performance gains of nearly 50 - 500% can be observed while using S3 Transfer Acceleration.
Option D is incorrect. It is possible to use S3 endpoints directly for data transfer. But it will be impractical for situations where the Geographic location is significantly far away from the S3 destination introducing high latency while uploading large objects.
References:
https://medium.com/awesome-cloud/aws-amazon-s3-transfer-acceleration-overview-6baa7b029c27
https://docs.aws.amazon.com/AmazonS3/latest/dev/transfer-acceleration.html