Download JNTUH MCA 4th Sem R15 2019 April-May 824AM Big Data Analytics Question Paper

Download JNTUH (Jawaharlal nehru technological university) MCA (Master of Computer Applications) 4th Sem (Fourth Semester) Regulation-R15 2019 April-May 824AM Big Data Analytics Previous Question Paper

R15

Code No: 824AM















JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

MCA IV Semester Examinations, April/May - 2019

BIG DATA ANALYTICS

Time: 3hrs













Max.Marks:75


Note: This question paper contains two parts A and B.

Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B
consists of 5 Units. Answer any one full question from each unit. Each question carries
10 marks and may have a, b, c as sub questions.



PART - A



















5 ? 5 Marks = 25



1.a) What is meant by datafication? What features are to be considered in this?

[5]

b) List the main differences between reporting and analysis.





[5]

c) What points need to be considered while designing a file system in Map Reduce? [5]
d) What features of RDBMS are greatly missed in NoSQL?





[5]

e) What are the key elements of social media?









[5]



PART - B

















5 ? 10 Marks = 50

2.a)

What are the elements of big data? Briefly describe them.

b)

How to apply big data in education sector?









[5+5]

OR

3.

Compare Analytics 1.0, 2.0 and 3.0. Discuss the top challenges facing big data. [10]



4.

Depict the roles of the analytics team and information technology professionals in an
organization.

















[10]

OR

5.

Make a comparison of features of R tool with IBM SPSS tool. For social media data
analysis for a political party, which of these two tools would you suggest? Why? [10]


6.

Explore the techniques to optimize Map Reduce Jobs.







[10]

OR

7.

With the help of a neat diagram explain the architecture of Hadoop distributed file
system.



















[10]



8.

Demonstrate setting up a Hadoop distributed file system cluster with a Name node and
three data nodes.

















[10]

OR

9.a)

Is YARN advantageous over Map Reduce? Justify your answer.

b)

What is the need of replica processing of data in Hadoop?





[5+5]



10.

What is the significance of sentiment analysis? How to handle facts and opinions?
Explain with relevant examples.













[10]

OR

11.a) What are the applications of mobile analytics?
b) Differentiate between mobile app analytics and mobile web analytics.



[5+5]



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