Question

What file systems does Spark support?

a) HDFS (Hadoop Distributed File System)
b) NTFS (New Technology File System)
c) FAT32 (File Allocation Table 32)
d) EXT4 (Fourth Extended File System)

Answer 1

Spark supports HDFS, NTFS, FAT32, and EXT4 file systems.

Step-by-step explanation:

Spark supports the following file systems:

1. HDFS: Hadoop Distributed File System. This is the default and most commonly used file system in Spark. It is designed to handle large amounts of data across clusters of computers.
2. NTFS: New Technology File System. Although Spark can read and write data in NTFS, it is not the recommended file system for use with Spark. NTFS is mainly used on Windows operating systems.
3. FAT32: File Allocation Table 32. Similar to NTFS, Spark can interact with FAT32, but it is not the ideal file system for Spark workloads.
4. EXT4: Fourth Extended File System. Spark can read and write data in EXT4, which is a commonly used file system on Linux systems.