A manufacturing company captures data from machines running at customer sites. Currently, thousands of machines send data every 5 minutes, and this is expected to grow to

hundreds of thousands of machines in the near future. The data is logged with the intent to be analyzed in the future as needed.

What is the SIMPLEST method to store this streaming data at scale?

A. Create an Amazon Kinesis Firehouse delivery stream to st

ore the data in Amazon S3.

B. Create an Auto Scaling group of Amazon EC2 servers behind ELBs to write the data into Amazon RDS.

C. Create an Amazon SQS queue, and have the machines write to the queue.

D. Create an Amazon EC2 server farm behind an ELB to st

ore the data in Amazon EBS Cold HDD volumes.