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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 2 of 8

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Q11.
Input to the _______ is the sorted output of the mappers.

a.

Reducer

b.

Mapper

c.

Shuffle

d.

All of the mentioned

Discuss
Answer: (a).Reducer
Q12.
The right number of reduces seems to be ____________

a.

0.90

b.

0.80

c.

0.36

d.

0.95

Discuss
Answer: (d).0.95
Q13.
The output of the _______ is not sorted in the Mapreduce framework for Hadoop.

a.

Mapper

b.

Cascader

c.

Scalding

d.

None of the mentioned

Discuss
Answer: (d).None of the mentioned
Q14.
Which of the following phases occur simultaneously?

a.

Shuffle and Sort

b.

Reduce and Sort

c.

Shuffle and Map

d.

All of the mentioned

Discuss
Answer: (a).Shuffle and Sort
Q15.
Mapper and Reducer implementations can use the ________ to report progress or just indicate that they are alive.

a.

Partitioner

b.

OutputCollector

c.

Reporter

d.

All of the mentioned

Discuss
Answer: (c).Reporter
Q16.
__________ is a generalization of the facility provided by the MapReduce framework to collect data output by the Mapper or the Reducer.

a.

Partitioner

b.

OutputCollector

c.

Reporter

d.

All of the mentioned

Discuss
Answer: (b).OutputCollector
Q17.
_________ is the primary interface for a user to describe a MapReduce job to the Hadoop framework for execution.

a.

Map Parameters

b.

JobConf

c.

MemoryConf

d.

None of the mentioned

Discuss
Answer: (b).JobConf
Q18.
________ systems are scale-out file-based (HDD) systems moving to more uses of memory in the nodes.

a.

NoSQL

b.

NewSQL

c.

SQL

d.

All of the mentioned

Discuss
Answer: (a).NoSQL
Q19.
Hadoop data is not sequenced and is in 64MB to 256MB block sizes of delimited record values with schema applied on read based on ____________

a.

HCatalog

b.

Hive

c.

Hbase

d.

All of the mentioned

Discuss
Answer: (a).HCatalog
Q20.
__________ are highly resilient and eliminate the single-point-of-failure risk with traditional Hadoop deployments.

a.

EMR

b.

Isilon solutions

c.

AWS

d.

None of the mentioned

Discuss
Answer: (b).Isilon solutions
Page 2 of 8

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