6 Questions
What is the primary function of Apache Hadoop?
Distributed storage and processing of large data sets across clusters of computers
Which component of Apache Hadoop is responsible for resource management?
YARN (Yet Another Resource Negotiator)
What is the purpose of HDFS in Apache Hadoop?
Storing data across a distributed cluster of machines
What is the role of the NameNode in HDFS?
Manages metadata for all the files and directories in the file system
What is the function of the ResourceManager in Apache Hadoop YARN?
Manages and schedules resources in the cluster
What is the purpose of the Secondary NameNode in HDFS?
Performs periodic checkpoints of the file system metadata
Study Notes
Apache Hadoop Overview
- The primary function of Apache Hadoop is to store and process large datasets in a distributed computing environment.
HDFS Components
- 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.
HDFS Components - NameNode
- 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 Components
- 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.
HDFS Components - Secondary NameNode
- The Secondary NameNode is a standby NameNode that takes over in case the primary NameNode fails.
Apache Hadoop Quiz: Test your knowledge of the primary function and components of Apache Hadoop. Learn about resource management and the purpose of HDFS in this popular big data processing framework.
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