Your Company Is Storing Millions of Sensitive Transactions Across Thousands

Multiple Choice

Your company is storing millions of sensitive transactions across thousands of 100-GB files that must be encrypted in transit and at rest. Analysts concurrently depend on subsets of files, which can consume up to 5 TB of space, to generate simulations that can be used to steer business decisions. You are required to design an AWS solution that can cost effectively accommodate the long-term storage and in-flight subsets of data. Which approach can satisfy these objectives?

A) Use Amazon Simple Storage Service (S3) with server-side encryption, and run simulations on subsets in ephemeral drives on Amazon EC2.
B) Use Amazon S3 with server-side encryption, and run simulations on subsets in-memory on Amazon EC2.
C) Use HDFS on Amazon EMR, and run simulations on subsets in ephemeral drives on Amazon EC2.
D) Use HDFS on Amazon Elastic MapReduce (EMR) , and run simulations on subsets in-memory on Amazon Elastic Compute Cloud (EC2) .
E) Store the full data set in encrypted Amazon Elastic Block Store (EBS) volumes, and regularly capture snapshots that can be cloned to EC2 workstations.