A company is planning on setting up an EMR Cluster in AWS. They need to ensure that the cluster to have machine learning capabilities. The data being ingested will be from various log files from EC2 Instances located in AWS. The data is being used to check for any sort of fraud detection. Which of the following would be the ideal application to use along with the underlying EMR Cluster?

Answer options:

A.Hive
B.Presto
C.Spark
D.HBase

Answer – C
The AWS Documentation mentions the following
Spark natively supports applications written in Scala, Python, and Java. It also includes several tightly integrated libraries for SQL (Spark SQL), machine learning (MLlib), stream processing (Spark Streaming), and graph processing (GraphX). These tools make it easier to leverage the Spark framework for a wide variety of use cases.
The ideal solution to use which has integrated Machine Learning capabilities is Apache Spark , hence the other options are not the most viable ones.
For more information on EMR spark, please refer to the below URL
https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-spark.html