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Hadoop Interview Questions

If you are searching for Big Data Hadoop Interview Questions that can help you in your Hadoop interview preparation process then, you are at the correct place. In this blog post, we have collected the list of most frequently asked interview questions on Big Data Hadoop

  1. What Do You Understand By The Term Big Data?

Big Data is a relative term. This indicates massive amounts of data that cannot be handled by using conventional systems like RDBMS as data is being generated in large volumes at relatively high speed, it is known as Big Data.

  1. What Are 3 Core Dimension Of Big Data?

Big Data has 3 core dimensions which are

  • Volume
  • Variety
  • Velocity
  • Veracity
  • Value
  1. What Is The Role of Veracity in Big Data?

Veracity indicates the accuracy of the data. Big Data should have some accurate data in order to process it.

  1. What is Hadoop?

Hadoop is an open-source framework which is developed by the Apache foundation. This is. Hadoop is used for storing & processing Big Data.

  1. What Are The Major Components Of Hadoop Ecosystem?

The major components of the Hadoop ecosystem are

  • HDFS
  • YARN
  • MapReduce
  • Pig
  • Hive
  • Sqoop, etc.
  1. What Do You Understand By HDFS?

Hadoop Distributed File System is in short referred to as HDFS. Like Every System have one file system in order to see/manage files stored, in the same way, Hadoop is having HDFS which works in a distributed manner.

  1. How Do We Set Logging Level For Hadoop Daemons/Commands?

In or in file, hadoop.root.logger=INFO,console (WARN, DRFA)

  1. Is It Possible To Create Multiple Files In HDFS With Different Block Sizes?

Yes. HDFS provides API to specify block size at the time of file creation. Below is the method signature:

public FSDataOutputStream create(Path f, boolean overwrite, int bufferSize, short replication, long blockSize) throws IOException;

  1. What Is The Need For fsck In Hadoop?

Fsck is used to determine the files with missing blocks.

  1. What Is The Use of YARN?

YARN is used for managing resources. Jobs are scheduled using YARN in Apache Hadoop.

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