Welcome to the MapReduce Basics MCQs Page

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

MapReduce Basics MCQs | Page 1 of 8

Explore more Topics under Hadoop

01

Basics of Hadoop

02

Hadoop Distributed File System

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 ________ node acts as the Slave and is responsible for executing a Task assigned to it by the JobTracker.

MapReduce

Mapper

TaskTracker

JobTracker

Discuss

Answer: (c).TaskTracker

Q2.

___________ part of the MapReduce is responsible for processing one or more chunks of data and producing the output results.

Maptask

Mapper

Task execution

All of the mentioned

Discuss

Answer: (a).Maptask

Q3.

_________ function is responsible for consolidating the results produced by each of the Map() functions/tasks.

Reduce

Map

Reducer

All of the mentioned

Discuss

Answer: (a).Reduce

Q4.

Although the Hadoop framework is implemented in Java, MapReduce applications need not be written in ____________

Java

None of the mentioned

Discuss

Answer: (a).Java

Q5.

________ is a utility which allows users to create and run jobs with any executables as the mapper and/or the reducer.

Hadoop Strdata

Hadoop Streaming

Hadoop Stream

None of the mentioned

Discuss

Answer: (b).Hadoop Streaming

Q6.

__________ maps input key/value pairs to a set of intermediate key/value pairs.

Mapper

Reducer

Both Mapper and Reducer

None of the mentioned

Discuss

Answer: (a).Mapper

Q7.

The number of maps is usually driven by the total size of ____________

inputs

outputs

tasks

None of the mentioned

Discuss

Answer: (a).inputs

Q8.

_________ is the default Partitioner for partitioning key space.

HashPar

Partitioner

HashPartitioner

None of the mentioned

Discuss

Answer: (c).HashPartitioner

Q9.

Running a ___________ program involves running mapping tasks on many or all of the nodes in our cluster.

MapReduce

Map

Reducer

All of the mentioned

Discuss

Answer: (a).MapReduce

Q10.

Mapper implementations are passed the JobConf for the job via the ________ method.

JobConfigure.configure

JobConfigurable.configure

JobConfigurable.configurable

None of the mentioned

Discuss

Answer: (b).JobConfigurable.configure

Page 1 of 8

Welcome to the MapReduce Basics MCQs Page

MapReduce Basics MCQs | Page 1 of 8

Explore more Topics under Hadoop

Basics of Hadoop

Hadoop Distributed File System

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

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