Which type of Azure HDInsight cluster should you use to produce results as quickly as possible?

You are analyzing taxi trips in New York City. You leverage the Azure Data Factory to create data pipelines and to orchestrate data movement.

You plan to develop a predictive model for 170 million rows (37 GB) of raw data in Apache Hive by using Microsoft R Serve to identify which factors contributes to the passenger tipping behavior.

All of the platforms that are used for the analysis are the same. Each worker node has eight processor cores and 28 GB Of memory.

Which type of Azure HDInsight cluster should you use to produce results as quickly as possible?
A . Hadoop
B . HBase
C . Interactive Hive
D . Spark

Answer: A