You are writing some data on Hadoop in the parquet format using spark. You need to enable compression. Which of the following is/are the valid compression type(s) that you can use for parquet format?

Answer options:

A.none
B.gzip
C.snappy
D.lzo
E.All of these

Correct Answer: E 
In Spark 2.1, the supported compression types of Parquet data types are: none, gzip, snappy and lzo. For Spark 2.4 / 3.0, the supported compression types are: uncompressed, none, snappy,lzo, gzip, brotli, lz4, and zstd.
Option A is incorrect. none is not the only supported compression format. The complete Parquet dataset supports all given compression types.
Option B is incorrect. gzip is not the only supported compression format. The complete Parquet dataset supports all given compression types.
Option C is incorrect. snappy is not the only supported compression format. The complete Parquet dataset supports all given compression types.
Option D is incorrect. lzo is not the only supported compression format. The complete Parquet dataset supports all given compression types.
Option E is correct. The Parquet dataset supports all given compression types.
Reference: 
To know more about parquet format in Azure Data Factory, please visit the below-given link: 

https://docs.microsoft.com/en-us/azure/data-factory/format-parquet