You need to decide on the technology choice that your team should use for batch processing in Azure. The requirements demand the technology to meet the following capabilities: Autoscaling
In-memory caching of data
Query from external relational stores
Support for firewall
Which of the following techniques would you choose?

Answer options:

A.Azure Data Lake Analytics
B.Azure Synapse Analytics
C.Azure HDInsight with Spark
D.Azure Databricks

Correct Answer: C
Option A is incorrect. Azure Data Lake Analytics does not support Autoscaling and In-memory caching of data.
Option B is incorrect. Azure Synapse Analytics does not support Autoscaling and Query from external relational stores.
Option C is correct. HDInsight with Spark supports all the given capabilities: Autoscaling, In-memory caching of data, Query from the external relational store, and support for the firewall.
Option D is incorrect. Azure Databricks supports firewall when integrated with VNET, Azure Databricks alone can’t support the given capabilities.
Reference: 
To know more about batch processing technologies in Azure, please visit the below-given link: 

https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing