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.
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.