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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 3 of 8

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Q21.
HDFS and NoSQL file systems focus almost exclusively on adding nodes to ____________

a.

Scale out

b.

Scale up

c.

Both Scale out and up

d.

None of the mentioned

Discuss
Answer: (a).Scale out
Q22.
Which is the most popular NoSQL database for scalable big data store with Hadoop?

a.

Hbase

b.

MongoDB

c.

Cassandra

d.

None of the mentioned

Discuss
Answer: (a).Hbase
Q23.
The ___________ can also be used to distribute both jars and native libraries for use in the map and/or reduce tasks.

a.

DataCache

b.

DistributedData

c.

DistributedCache

d.

All of the mentioned

Discuss
Answer: (c).DistributedCache
Q24.
HBase provides ___________ like capabilities on top of Hadoop and HDFS.

a.

TopTable

b.

BigTop

c.

Bigtable

d.

None of the mentioned

Discuss
Answer: (c).Bigtable
Q25.
__________ refers to incremental costs with no major impact on solution design, performance and complexity.

a.

Scale-out

b.

Scale-down

c.

Scale-up

d.

None of the mentioned

Discuss
Answer: (c).Scale-up
Q26.
Streaming supports streaming command options as well as _________ command options.

a.

generic

b.

tool

c.

library

d.

task

Discuss
Answer: (a).generic
Q27.
Which of the following Hadoop streaming command option parameter is required?

a.

output directoryname

b.

mapper executable

c.

input directoryname

d.

all of the mentioned

Discuss
Answer: (d).all of the mentioned
Q28.
To set an environment variable in a streaming command use ____________

a.

-cmden EXAMPLE_DIR=/home/example/dictionaries/

b.

-cmdev EXAMPLE_DIR=/home/example/dictionaries/

c.

-cmdenv EXAMPLE_DIR=/home/example/dictionaries/

d.

-cmenv EXAMPLE_DIR=/home/example/dictionaries/

Discuss
Answer: (c).-cmdenv EXAMPLE_DIR=/home/example/dictionaries/
Q29.
The ________ option allows you to copy jars locally to the current working directory of tasks and automatically unjar the files.

a.

archives

b.

files

c.

task

d.

none of the mentioned

Discuss
Answer: (a).archives
Q30.
______________ class allows the Map/Reduce framework to partition the map outputs based on certain key fields, not the whole keys.

a.

KeyFieldPartitioner

b.

KeyFieldBasedPartitioner

c.

KeyFieldBased

d.

None of the mentioned

Discuss
Answer: (b).KeyFieldBasedPartitioner
Page 3 of 8

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