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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.

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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

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Q1.
A ________ node acts as the Slave and is responsible for executing a Task assigned to it by the JobTracker.

a.

MapReduce

b.

Mapper

c.

TaskTracker

d.

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.

a.

Maptask

b.

Mapper

c.

Task execution

d.

All of the mentioned

Discuss
Answer: (a).Maptask
Q3.
_________ function is responsible for consolidating the results produced by each of the Map() functions/tasks.

a.

Reduce

b.

Map

c.

Reducer

d.

All of the mentioned

Discuss
Answer: (a).Reduce
Q4.
Although the Hadoop framework is implemented in Java, MapReduce applications need not be written in ____________

a.

Java

b.

C

c.

C#

d.

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.

a.

Hadoop Strdata

b.

Hadoop Streaming

c.

Hadoop Stream

d.

None of the mentioned

Discuss
Answer: (b).Hadoop Streaming
Q6.
__________ maps input key/value pairs to a set of intermediate key/value pairs.

a.

Mapper

b.

Reducer

c.

Both Mapper and Reducer

d.

None of the mentioned

Discuss
Answer: (a).Mapper
Q7.
The number of maps is usually driven by the total size of ____________

a.

inputs

b.

outputs

c.

tasks

d.

None of the mentioned

Discuss
Answer: (a).inputs
Q8.
_________ is the default Partitioner for partitioning key space.

a.

HashPar

b.

Partitioner

c.

HashPartitioner

d.

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.

a.

MapReduce

b.

Map

c.

Reducer

d.

All of the mentioned

Discuss
Answer: (a).MapReduce
Q10.
Mapper implementations are passed the JobConf for the job via the ________ method.

a.

JobConfigure.configure

b.

JobConfigurable.configure

c.

JobConfigurable.configurable

d.

None of the mentioned

Discuss
Answer: (b).JobConfigurable.configure
Page 1 of 8

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