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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 6 of 8

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Q51.
NameNode is monitored and upgraded in a __________ transition.

a.

safemode

b.

securemode

c.

servicemode

d.

none of the mentioned

Discuss
Answer: (b).securemode
Q52.
Point out the correct statement.

a.

DataNode is the slave/worker node and holds the user data in the form of Data Blocks

b.

Each incoming file is broken into 32 MB by default

c.

Data blocks are replicated across different nodes in the cluster to ensure a low degree of fault tolerance

d.

None of the mentioned

Discuss
Answer: (a).DataNode is the slave/worker node and holds the user data in the form of Data Blocks
Q53.
Point out the wrong statement.

a.

Replication Factor can be configured at a cluster level (Default is set to 3) and also at a file level

b.

Block Report from each DataNode contains a list of all the blocks that are stored on that DataNode

c.

User data is stored on the local file system of DataNodes

d.

DataNode is aware of the files to which the blocks stored on it belong to

Discuss
Answer: (d).DataNode is aware of the files to which the blocks stored on it belong to
Q54.
Point out the correct statement.

a.

The Hadoop framework publishes the job flow status to an internally running web server on the master nodes of the Hadoop cluster

b.

Each incoming file is broken into 32 MB by default

c.

Data blocks are replicated across different nodes in the cluster to ensure a low degree of fault tolerance

d.

None of the mentioned

Discuss
Answer: (a).The Hadoop framework publishes the job flow status to an internally running web server on the master nodes of the Hadoop cluster
Q55.
Point out the correct statement.

a.

The framework groups Reducer inputs by keys

b.

The shuffle and sort phases occur simultaneously i.e. while outputs are being fetched they are merged

c.

Since JobConf.setOutputKeyComparatorClass(Class) can be used to control how intermediate keys are grouped, these can be used in conjunction to simulate secondary sort on values

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q56.
Point out the wrong statement.

a.

The framework calls reduce method for each <key, (list of values)> pair in the grouped inputs

b.

The output of the Reducer is re-sorted

c.

reduce method reduces values for a given key

d.

None of the mentioned

Discuss
Answer: (b).The output of the Reducer is re-sorted
Q57.
Point out the correct statement.

a.

Data locality means movement of the algorithm to the data instead of data to algorithm

b.

When the processing is done on the data algorithm is moved across the Action Nodes rather than data to the algorithm

c.

Moving Computation is expensive than Moving Data

d.

None of the mentioned

Discuss
Answer: (a).Data locality means movement of the algorithm to the data instead of data to algorithm
Q58.
Point out the wrong statement.

a.

The map function in Hadoop MapReduce have the following general form:map:(K1, V1) -> list(K2, V2)

b.

The reduce function in Hadoop MapReduce have the following general form: reduce: (K2, list(V2)) -> list(K3, V3)

c.

MapReduce has a complex model of data processing: inputs and outputs for the map and reduce functions are key-value pairs

d.

None of the mentioned

Discuss
Answer: (c).MapReduce has a complex model of data processing: inputs and outputs for the map and reduce functions are key-value pairs
Q59.
Point out the correct statement.

a.

A Hadoop archive maps to a file system directory

b.

Hadoop archives are special format archives

c.

A Hadoop archive always has a *.har extension

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q60.
Point out the wrong statement.

a.

The Hadoop archive exposes itself as a file system layer

b.

Hadoop archives are immutable

c.

Archive rename, deletes and creates return an error

d.

None of the mentioned

Discuss
Answer: (d).None of the mentioned
Page 6 of 8

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