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Processing of data on a single machine
Centralized storage of small data sets
Real-time data analytics for small datasets
Distributed storage and processing of large data sets across clusters of computers (correct)

Manages metadata for all the files and directories in the file system (B) Signup and view all the answers

Manages and schedules resources in the cluster (A) Signup and view all the answers

Performs periodic checkpoints of the file system metadata (B) Signup and view all the answers

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The primary function of Apache Hadoop is to store and process large datasets in a distributed computing environment.

HDFS (Hadoop Distributed File System) is responsible for storing and retrieving data in Apache Hadoop.
The purpose of HDFS is to provide a reliable, scalable, and fault-tolerant storage system for large datasets.

The NameNode is responsible for maintaining a directory hierarchy of the data stored in HDFS.
The NameNode keeps track of the file system namespace, including file blocks and their locations on the DataNodes.

YARN (Yet Another Resource Negotiator) is responsible for resource management and job scheduling in Apache Hadoop.
The ResourceManager is the component responsible for managing resources and scheduling jobs in YARN.