Azure Data Lake Analytics is a recommended analytics job service for distributed processing of huge datasets saved in the Azure Data Lake Store. Which of the following languages is used by Data Lake Analytics for query processing?

Answer options:

A.U-SQL
B.Scala
C.Spark SQL
D.Lake SQL
E.Java

Correct Answer: A 
Azure Data Lake Analytics uses U-SQL language for query processing. U-SQL combines the declarative feature of SQL (Structured Query language) with the procedural extensibility of language C#, and takes the benefit of parallelism for enabling efficient data processing at a massive scale.
Option A is correct. U-SQL is the query processing language that is used by Azure Data Lake Analytics.
Option B is incorrect. Data Lake Analytics uses U-SQL, not Scala.
Option C is incorrect. Spark SQL is the language used by the Azure Databricks.
Option D is incorrect. There is no such language as Lake SQL.
Option E is incorrect. Data Lake Analytics uses U-SQL, not Scala for query processing.
References: 
To know more about batch processing, please visit the below-given links: 

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