Welcome to the Hadoop Distributed File System MCQs Page

Dive deep into the fascinating world of Hadoop Distributed File System with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hadoop Distributed File System, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hadoop Distributed File System, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Hadoop.

Check out the MCQs below to embark on an enriching journey through Hadoop Distributed File System. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Hadoop.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Hadoop Distributed File System. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hadoop Distributed File System MCQs | Page 1 of 8

Explore more Topics under Hadoop

01

Basics of Hadoop

02

MapReduce Basics

03

Hadoop IO

04

MapReduce Development and Features

05

Introduction to Pig

06

Hive and HBase

07

ZooKeeper,Sqoop and Cassandra

08

Hadoop Incubators and Hadoop Development Tools

09

Hadoop Frameworks

10

Hadoop Libraries and Utilities

Q1.

A ________ serves as the master and there is only one NameNode per cluster.

Data Node

NameNode

Data block

Replication

Discuss

Answer: (b).NameNode

Q2.

HDFS works in a __________ fashion.

master-worker

master-slave

worker/slave

all of the mentioned

Discuss

Answer: (a).master-worker

Q3.

________ NameNode is used when the Primary NameNode goes down.

Rack

Data

Secondary

None of the mentioned

Discuss

Answer: (c).Secondary

Q4.

Which of the following scenario may not be a good fit for HDFS?

HDFS is not suitable for scenarios requiring multiple/simultaneous writes to the same file

HDFS is suitable for storing data related to applications requiring low latency data access

None of the mentioned

Discuss

Answer: (a).HDFS is not suitable for scenarios requiring multiple/simultaneous writes to the same file

Q5.

The need for data replication can arise in various scenarios like ____________

Replication Factor is changed

DataNode goes down

Data Blocks get corrupted

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q6.

________ is the slave/worker node and holds the user data in the form of Data Blocks.

DataNode

NameNode

Data block

Replication

Discuss

Answer: (a).DataNode

Q7.

HDFS provides a command line interface called __________ used to interact with HDFS.

“HDFS Shell”

“FS Shell”

“DFS Shell”

None of the mentioned

Discuss

Answer: (b).“FS Shell”

Q8.

HDFS is implemented in _____________ programming language.

C++

Java

Scala

None of the mentioned

Discuss

Answer: (b).Java

Q9.

For YARN, the ___________ Manager UI provides host and port information.

Data Node

NameNode

Resource

Replication

Discuss

Answer: (c).Resource

Q10.

For ________ the HBase Master UI provides information about the HBase Master uptime.

HBase

Oozie

Kafka

All of the mentioned

Discuss

Answer: (a).HBase

Page 1 of 8

Welcome to the Hadoop Distributed File System MCQs Page

Hadoop Distributed File System MCQs | Page 1 of 8

Explore more Topics under Hadoop

Basics of Hadoop

MapReduce Basics

Hadoop IO

MapReduce Development and Features

Introduction to Pig

Hive and HBase

ZooKeeper,Sqoop and Cassandra

Hadoop Incubators and Hadoop Development Tools

Hadoop Frameworks

Hadoop Libraries and Utilities

Suggested Topics

Microprocessor

Computer Hardware

Big Data Computing

Management Information Systems

Web Technologies

C# programming

MySQL Database

Software Engineering

MATLAB