Home / Blog / Interview Questions / Hadoop Interview Questions & Answers
Hadoop Interview Questions & Answers
Meet the Author : Mr. Bharani Kumar
Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of AiSPRY and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.
Table of Content
- What is the compatible version for Hadoop 2.x?
- What is the compatible version for Hadoop 3.x?
- How to handle the fault tolerance in Hadoop 2.x?
- How to handle the fault tolerance in Hadoop 3.x?
- In Hadoop 2.x, what do we need for namenode recovery?
- What is the Storage space in Hadoop 3.x comparing Hadoop 2.x?
- Which command will be included to print the java.library.path in Hadoop 3.x?
- To improve scalability and reliability in Hadoop 3, the YARN Timeline service has been enhanced with?
- Hadoop can run on?
- What is the default size of the distributed cache?
- How to check the status of all daemons running in the HDFS?
- Which NoSQL database is scalable with Hadoop?
- Which command is used to check inconsistencies in Hadoop?
- In how many nodes pig is operated?
- What is Snappy compression?
- What is the slowest compression technique in Hadoop?
- Which is the compression technique to compress 10% to 15% from the best available techniques?
- Which company developed Pig?
- How to read Data in Pig?
- What kind of language is Pig?
- Where do we use HIVE?
- How Facebook tackles Big Data on HADOOP?
- What is used for Machine learning on HADOOP?
- In HADOOP ‘put’ command is used for?
- Spark uses Hadoop in how many ways?
- What is the wrong way for Spark Deployment?
- Which component is on top of Spark Core?
Introduction
Hadoop is a powerful open-source framework that has revolutionized the world of big data analytics. It was created by Doug Cutting and Mike Cafarella in 2006 and is now maintained by the Apache Software Foundation. Hadoop allows organizations to store, process, and analyze vast amounts of structured data and unstructured data in a cost-effective manner. It is based on the distributed computing model, which enables users to perform complex operations on large datasets that would be impossible to process using traditional computing methods.
In this blog, we will take you into list of commonly asked Hadoop interview questions and answers to help you prepare for your next big opportunity.
Are you exploring options for data scientist training in Hyderabad? 360DigiTMG offers hands-on learning and real-time project experience to help you build a solid career foundation.
-
What is the compatible version for Hadoop 2.x?
- a) Java 6
- b) Java 7
- c) Java 8
- d) Java 5
Answer - b) Java 7
-
What is the compatible version for Hadoop 3.x?
- a) Java 6
- b) Java 7
- c) Java 8
- d) Java 5
Answer - c) Java 8
-
How to handle the fault tolerance in Hadoop 2.x?
- a) Replication
- b) Erasure Coding
- c) Data Handling
- d) Flow control
Answer - a) Replication
-
How to handle the fault tolerance in Hadoop 3.x?
- a) Replication
- b) Erasure Coding
- c) Data Handling
- d) Flow control
Answer - b) Erasure Coding
-
In Hadoop 2.x, what do we need for namenode recovery?
- a) Erasure Coding
- b) Java 8
- c) Manual Intervention
- d) Data Handling
Answer - c) Manual Intervention
-
What is the Storage space in Hadoop 3.x comparing Hadoop 2.x?
- a) 100%
- b) 200%
- c) 300%
- d) 400%
Answer - b) 200%
-
Which command will be included to print the java.library.path in Hadoop 3.x?
- a) hadoop jnipath
- b) hadoop inipath
- c) hadoop knipath
- d) hadoop ijnipath
Answer - a) hadoop jnipath
-
To improve scalability and reliability in Hadoop 3, the YARN Timeline service has been enhanced with
- a) ATS V1
- b) ATS V2
- c) ATS V3
- d) ATS V4
Answer - b) ATS V2
-
Hadoop can run on
- a) Windows
- b) Linux
- c) Mac
- d) Cross-Platform
Answer - d) Cross-Platform
-
How to control the HDFS replication factor?
- a) Yarn-site.xml
- b) Hdfs-site.xml
- c) Cross-site.xml
- d) Into-site.xml
Answer - b) Hdfs-site.xml
-
What is the default size of the distributed cache?
- a) 10 GB
- b) 20 GB
- c) 16 GB
- d) 32 GB
Answer - a) 10 GB
-
Which NoSQL database is scalable with Hadoop?
- a) MongoDB
- b) Hbase
- c) Cassandra
- d) Mysql
Answer - b) Hbase
-
Which command is used to check inconsistencies in Hadoop?
- a) Fsck
- b) Fsk
- c) Fskc
- d) Fks
Answer - a) Fsck
-
In how many nodes pig is operated?
- a) 1
- b) 2
- c) 3
- d) 4
Answer - b) 2
-
What is Snappy compression
- a) GZip
- b) Bzip2
- c) LZO
- d) None of the above
Answer - c) LZO
-
What is the slowest compression technique in Hadoop?
- a) GZip
- b) Bzip2
- c) LZO
- d) None of the above
Answer - b) Bzip2
-
Which is the compression technique to compress 10% to 15% from the best available techniques?
- a) Bzip2
- b) LZip
- c) GZip
- d) LZO
Answer - a) Bzip2
-
Which company developed Pig?
- a) Wipro
- b) Google
- c) Yahoo
- d) Microsoft
Answer - c) Yahoo
-
How to read Data in Pig?
- a) Load
- b) Read
- c) Write
- d) Perform
Answer - a) Load
-
What kind of language is Pig?
- a) High-Level Language
- b) Low-level Language
- c) Mid-Level Language
- d) All of the Above
Answer - a) High-Level Language
-
Where do we use HIVE?
- a) Hadoop Query Engine
- b) Hadoop SQL Server Interface
- c) Both a) & b)
- d) None of the Above
Answer - c) Both a) & b)
-
How Facebook tackles Big Data on HADOOP?
- a) Raw Data
- b) Project
- c) Prism
- d) Rojectbid
Answer - c) Prism
-
What is used for Machine learning on HADOOP?
- a) HDFS
- b) Pig
- c) Mahoot
- d) CBase
Answer - c) Mahoot
-
In HADOOP ‘put’ command is used for?
- a) TO Copy files or directories from local system to HDFS
- b) To Copy files from HDFS to a local machine
- c) To Copy files from HDFS to a local system
- d) To Copy HDFS to HDFS
Answer - a) TO Copy files or directories from local system to HDFS
-
Spark uses Hadoop in how many ways?
- a) 3
- b) 2
- c) 4
- d) 1
Answer - b) 2
-
What is the wrong way for Spark Deployment?
- a) Spark in MapReduce
- b) Yarn
- c) HDFS
- d) Spark SQL
Answer - d) Spark SQL
-
Which component is on top of Spark Core?
- a) Spark SQL
- b) RDD’s
- c) Yarn
- d) All of the Above
Answer - a) Spark SQL
Do You want to know more about What is Hadoop?
Navigate to Address
360DigiTMG - Data Analytics, Data Science Course Training Hyderabad
2-56/2/19, 3rd floor, Vijaya Towers, near Meridian School, Ayyappa Society Rd, Madhapur, Hyderabad, Telangana 500081
099899 94319
