The correct answer is Hadoop Distributed File System HDFS.

Hadoop Distributed File System HDFS is a distributed, fault tolerant file system designed for big data workloads and it is what gives Azure Data Lake Storage Gen2 the HDFS compatibility that supports high throughput and integration with Hadoop ecosystem tools.

NTFS is a Windows local disk file system and it does not provide the distributed HDFS compatible semantics needed for Hadoop or for ADLS Gen2.

FAT32 is an older desktop file system with file size and metadata limitations and it is not suitable for distributed big data storage or Hadoop compatibility.

Google Cloud Storage is an object storage service from Google Cloud and it is not the file system that underpins Azure Data Lake Storage Gen2 nor is it a native HDFS implementation.

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