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Big Data Multiple Choice Questions (MCQs) and Answers

Master Big Data with Practice MCQs. Explore our curated collection of Multiple Choice Questions. Ideal for placement and interview preparation, our questions range from basic to advanced, ensuring comprehensive coverage of Big Data concepts. Begin your placement preparation journey now!

Q1

Q1 Which of the following is NOT a characteristic of Big Data?

A

Volume

B

Variety

C

Veracity

D

Visualization

Q2

Q2 What does the 'Volume' aspect of Big Data refer to?

A

The speed of data generation

B

The variety of data types

C

The sheer amount of data

D

The accuracy of data

Q3

Q3 What is a key benefit of Big Data analysis?

A

Reduced hardware requirements

B

Improved decision-making

C

Limited data storage

D

Lower cost of implementation

Q4

Q4 Which of the following is the best description of Big Data?

A

A small dataset processed using traditional tools

B

Data that requires new forms of processing due to its size, variety, or speed

C

Data stored in SQL databases

D

Data collected from social media platforms

Q5

Q5 Which of the following statements is true about the relationship between Big Data and traditional data processing?

A

Big Data can always be processed with traditional methods

B

Traditional methods can handle the velocity of Big Data

C

Traditional methods struggle with the volume and variety of Big Data

D

There is no difference between Big Data and traditional data

Q6

Q6 Which of the following challenges is specifically associated with Big Data's velocity?

A

Ensuring data accuracy

B

Handling the speed at which data is generated

C

Reducing data storage requirements

D

Visualizing the data

Q7

Q7 Which type of data does the variety aspect of Big Data primarily address?

A

Structured

B

Unstructured

C

Both structured and unstructured

D

Neither

Q8

Q8 Which command is used to list the files in a Hadoop directory?

A

hdfs dfs -ls

B

hdfs dfs -rm

C

hdfs dfs -put

D

hdfs dfs -copyFromLocal

Q9

Q9 A Big Data job is failing due to a lack of sufficient memory. What is the most likely cause?

A

The data is too small for the job

B

Memory allocation is insufficient

C

The dataset is too fast

D

There is no issue with memory

Q10

Q10 Which of the following is NOT one of the 3Vs of Big Data?

A

Volume

B

Velocity

C

Variety

D

Validation

Q11

Q11 What does the 'Velocity' characteristic of Big Data refer to?

A

The amount of data

B

The speed at which data is generated

C

The different types of data

D

The source of data

Q12

Q12 What type of data does the 'Variety' aspect of Big Data encompass?

A

Structured

B

Unstructured

C

Both structured and unstructured

D

Neither

Q13

Q13 Which of the following challenges is most associated with Big Data's 'Volume'?

A

Managing the large amount of data

B

Ensuring data security

C

Processing real-time data

D

Handling different data formats

Q14

Q14 How does the 'Velocity' of Big Data impact data processing?

A

It slows down data generation

B

It increases the need for real-time processing

C

It reduces the variety of data sources

D

It has no significant effect on processing

Q15

Q15 What is a common challenge related to the 'Variety' aspect of Big Data?

A

Maintaining data privacy

B

Analyzing different data formats

C

Ensuring data consistency

D

Reducing data size

Q16

Q16 Which command in Hadoop is used to count the number of files in a directory?

A

hdfs dfs -count

B

hdfs dfs -list

C

hdfs dfs -numFiles

D

hdfs dfs -fileCount

Q17

Q17 A Big Data pipeline is slowing down due to an excessive amount of incoming data. Which aspect of the '3Vs' is causing this issue?

A

Volume

B

Velocity

C

Variety

D

Value

Q18

Q18 What is the primary purpose of HDFS in Big Data storage?

A

To store relational data

B

To store large files across multiple machines

C

To store in-memory data

D

To compress files

Q19

Q19 Which of the following is a benefit of distributed file systems like HDFS?

A

Increased redundancy

B

Decreased availability

C

Reduced fault tolerance

D

Increased hardware cost

Q20

Q20 What does the term "sharding" refer to in NoSQL databases?

A

Compressing data

B

Splitting data across multiple servers

C

Analyzing data

D

Encrypting data

Q21

Q21 Which of the following technologies is often used for storing unstructured data in Big Data environments?

A

SQL databases

B

Relational databases

C

NoSQL databases

D

In-memory databases

Q22

Q22 How does data replication enhance reliability in HDFS?

A

By reducing the storage space

B

By creating multiple copies of data

C

By storing data in the cloud

D

By using distributed caching

Q23

Q23 What is the role of a DataNode in HDFS?

A

To manage the metadata

B

To store actual data blocks

C

To manage the NameNode

D

To perform data compression

Q24

Q24 Which command is used to put a file into the Hadoop Distributed File System (HDFS)?

A

hdfs dfs -put

B

hdfs dfs -get

C

hdfs dfs -cp

D

hdfs dfs -cat

Q25

Q25 Which command in Hadoop is used to delete a directory in HDFS?

A

hdfs dfs -del

B

hdfs dfs -rm -r

C

hdfs dfs -rmdir

D

hdfs dfs -delete

Q26

Q26 Which command is used to check the disk usage of a directory in HDFS?

A

hdfs dfs -df

B

hdfs dfs -du

C

hdfs dfs -usage

D

hdfs dfs -checkDisk

Q27

Q27 A Hadoop job is failing because the HDFS NameNode is unreachable. What could be the most likely issue?

A

Insufficient disk space

B

Network issues

C

Corrupt DataNode

D

Job timeout

Q28

Q28 A file fails to upload to HDFS due to a lack of space. What is the likely cause?

A

The NameNode is corrupt

B

Data replication failed

C

DataNode disks are full

D

File is too small

Q29

Q29 A Hadoop cluster is running slowly due to frequent garbage collection. What could be a likely reason?

A

Improper memory management

B

Incorrect replication factor

C

Excessive disk space

D

Network issues

Q30

Q30 What is the primary purpose of Hadoop in distributed computing?

A

Data compression

B

Fault tolerance

C

Real-time analytics

D

Distributed data storage

...
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