Welcome to the Hadoop IO MCQs Page

Dive deep into the fascinating world of Hadoop IO with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hadoop IO, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hadoop IO, 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 IO. 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 IO. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hadoop IO MCQs | Page 3 of 6

Explore more Topics under Hadoop

01

Basics of Hadoop

02

MapReduce Basics

03

Hadoop Distributed File System

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

Q21.

Automatic restart and ____________ of the NameNode software to another machine is not supported.

failover

end

scalability

all of the mentioned

Discuss

Answer: (a).failover

Q22.

HDFS, by default, replicates each data block _____ times on different nodes and on at least ____ racks.

3, 2

1, 2

2, 3

All of the mentioned

Discuss

Answer: (a).3, 2

Q23.

_________ stores its metadata on multiple disks that typically include a non-local file server.

DataNode

NameNode

ActionNode

None of the mentioned

Discuss

Answer: (b).NameNode

Q24.

The HDFS file system is temporarily unavailable whenever the HDFS ________ is down.

DataNode

NameNode

ActionNode

None of the mentioned

Discuss

Answer: (b).NameNode

Q25.

Apache _______ is a serialization framework that produces data in a compact binary format.

Oozie

Impala

kafka

Avro

Discuss

Answer: (d).Avro

Q26.

Avro schemas describe the format of the message and are defined using ______________

JSON

XML

All of the mentioned

Discuss

Answer: (a).JSON

Q27.

The ____________ is an iterator which reads through the file and returns objects using the next() method.

DatReader

DatumReader

DatumRead

None of the mentioned

Discuss

Answer: (b).DatumReader

Q28.

The ____________ class extends and implements several Hadoop-supplied interfaces.

AvroReducer

Mapper

AvroMapper

None of the mentioned

Discuss

Answer: (c).AvroMapper

Q29.

____________ class accepts the values that the ModelCountMapper object has collected.

AvroReducer

Mapper

AvroMapper

None of the mentioned

Discuss

Answer: (a).AvroReducer

Q30.

The ________ method in the ModelCountReducer class “reduces” the values the mapper collects into a derived value.

count

add

reduce

all of the mentioned

Discuss

Answer: (c).reduce

Page 3 of 6

Welcome to the Hadoop IO MCQs Page

Hadoop IO MCQs | Page 3 of 6

Explore more Topics under Hadoop

Basics of Hadoop

MapReduce Basics

Hadoop Distributed File System

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

Cloud Computing

Digital Communication

Compiler Design

Digital Logic Design

MS Office

Systems Analysis and Design Methods

Data Science

Microprocessor

C# programming