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MIS-Big Data Analytics- Quiz-1 -WS25-26

Total questions: 10

Worksheet time: 10mins

Name
Class
Date
1.

1. What is the primary goal of Big Data Analytics?



a)

A. Store large datasets

b)

B. Process structured data only

c)

C. Extract meaningful insights from data

d)

D. Reduce data size

2.

The evolution of Big Data was driven mainly by:

a)

A. Decline in computing power

b)

B. Growth of internet and digital devices

c)

C. Reduction in data formats

d)

D. Manual data processing

3.

Which of the following is a major issue in Big Data analytics?

a)

A. Limited data availability

b)

B. Data inconsistency and quality

c)

C. Small storage capacity

d)

D. Simple data structures

4.

The case for Big Data mainly focuses on:

a)

A. Increasing storage hardware

b)

B. Improving decision-making using data

c)

C. Reducing network bandwidth

d)

D. Eliminating databases

5.

Which component belongs to the nuts and bolts of Big Data?

a)

A. Ethical policies

b)

B. Distributed storage systems

c)

C. Marketing strategies

d)

D. Business rules

6.

MapReduce is primarily used for:

a)

A. Data visualization

b)

B. Distributed data processing

c)

C. Data encryption

d)

D. Data backup

7.

The Reduce function in MapReduce performs:

a)

A. Input splitting

b)

B. Data storage

c)

C. Aggregation of intermediate results

d)

D. Data encryption

8.

Which component of Hadoop handles resource management?

a)

A. HDFS

b)

B. MapReduce

c)

C. YARN

d)

D. Hive

9.

Sharding refers to:

a)

A. Encrypting data

b)

B. Splitting data across multiple databases or nodes

c)

C. Compressing data

d)

D. Replicating data

10.

HBase is best suited for:

a)

A. Batch processing

b)

B. Column-oriented real-time read/write access

c)

C. Graph processing

d)

D. Image processing