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Welcome to the Hadoop Distributed File System MCQs Page

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

Hadoop Distributed File System MCQs | Page 2 of 8

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Q11.
During start up, the ___________ loads the file system state from the fsimage and the edits log file.

a.

DataNode

b.

NameNode

c.

ActionNode

d.

None of the mentioned

Discuss
Answer: (b).NameNode
Q12.
In order to read any file in HDFS, instance of __________ is required.

a.

filesystem

b.

datastream

c.

outstream

d.

inputstream

Discuss
Answer: (a).filesystem
Q13.
______________ is method to copy byte from input stream to any other stream in Hadoop.

a.

IOUtils

b.

Utils

c.

IUtils

d.

All of the mentioned

Discuss
Answer: (a).IOUtils
Q14.
_____________ is used to read data from bytes buffers.

a.

write()

b.

read()

c.

readwrite()

d.

all of the mentioned

Discuss
Answer: (a).write()
Q15.
Interface ____________ reduces a set of intermediate values which share a key to a smaller set of values.

a.

Mapper

b.

Reducer

c.

Writable

d.

Readable

Discuss
Answer: (b).Reducer
Q16.
Reducer is input the grouped output of a ____________

a.

Mapper

b.

Reducer

c.

Writable

d.

Readable

Discuss
Answer: (a).Mapper
Q17.
The output of the reduce task is typically written to the FileSystem via ____________

a.

OutputCollector

b.

InputCollector

c.

OutputCollect

d.

All of the mentioned

Discuss
Answer: (a).OutputCollector
Q18.
Applications can use the _________ provided to report progress or just indicate that they are alive.

a.

Collector

b.

Reporter

c.

Dashboard

d.

None of the mentioned

Discuss
Answer: (b).Reporter
Q19.
Which of the following parameter is to collect keys and combined values?

a.

key

b.

values

c.

reporter

d.

output

Discuss
Answer: (d).output
Q20.
________ is a programming model designed for processing large volumes of data in parallel by dividing the work into a set of independent tasks.

a.

Hive

b.

MapReduce

c.

Pig

d.

Lucene

Discuss
Answer: (b).MapReduce
Page 2 of 8

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