There are a number of various analytical data stores that use different languages, models, and provide different capabilities. Which of the following is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data?

Answer options:

A.Azure Synapse Analytics
B.HBase
C.Spark SQL
D.Hive
E.None of these

Correct Answer: B 
HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data. The primary data model used by HBase is the Wide column store.
Option A is incorrect. Azure Synapse is a managed service depending upon the SQL Server database technologies and is optimized for supporting large-scale data warehousing workloads.
Option B is correct. HBase is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data.
Option C is incorrect. Spark SQL is an API developed on Spark that enables the creation of data frames and tables which are possible to be queried using SQL syntax.
Option D is incorrect. It is HBase, not Hive that is a low-latency NoSQL data store that provides a high-performance and flexible option to query structured and semi-structured data.
Option E is incorrect. HBase is the right answer.
Reference: 
To know more about batch processing, please visit the below-given link: 

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