A company is planning on creating an EMR cluster for their Big Data needs. To make use of the maximum available space, they want to use Amazon S3 as the underlying data store for the cluster. Which of the following should also be enabled to ensure the cluster always works with the most recent updated data in S3?

Answer options:

A.Using Hive along with the EMR Cluster
B.Enable consistent view
C.Enable Hue on the cluster
D.Use HDFS as the storage layer

Answer – B
The AWS Documentation mentions the following
EMRFS consistent view is an optional feature available when using Amazon EMR release version 3.2.1 or later. Consistent view allows EMR clusters to check for list and read-after-write consistency for Amazon S3 objects written by or synced with EMRFS. Consistent view addresses an issue that can arise due to the Amazon S3 Data Consistency Model. For example, if you add objects to Amazon S3 in one operation and then immediately list objects in a subsequent operation, the list and the set of objects processed may be incomplete. This is more commonly a problem for clusters that run quick, sequential steps using Amazon S3 as a data store, such as multi-step extract-transform-load (ETL) data processing pipelines.
Option A is incorrect since this is an open-source, data warehouse, and analytic package that runs on top of a Hadoop cluster
Option C is incorrect since this is a web interface for the EMR Cluster
Option D is incorrect since the question clearly states that the underlying storage layer should be S3
For more information on the EMRFS consistent view, please refer to the below URL
https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-consistent-view.html