JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech IV BIG DATA ANALYTICS Previous Question Paper (May/June - 2019 - R15)

B.Tech | IV | I | R15 | May/June - 2019

Answer PaperPaper Code: 127JUMaximum Marks: 75Time: 3 Hours

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.

Part A

125 marks
a

What are the sources of secondary data?

2 marks

Answer

Secondary data sources include published government reports, academic journals, books, websites, census data, historical documents, and commercial databases.

b

Which source of Data is more reliable and Why?

3 marks

Answer

Primary data is generally more reliable because it is collected firsthand by the researcher for a specific purpose, ensuring higher accuracy, relevance, and control over the methodology, whereas secondary data may be outdated, biased, or collected for a different objective.

c

What are the two types of gaps in the data?

2 marks

Answer

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d

Explain Kepner - Tregoe Approach?

3 marks

Answer

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e

What are graph databases?

2 marks

Answer

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f

Discuss the need for data pre-processing?

3 marks

Answer

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g

What does the test data mean?

2 marks

Answer

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h

Discuss the difference between classification and clustering?

3 marks

Answer

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i

Define data presentation architecture.

2 marks

Answer

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j

Why do we use data visualization?

3 marks

Answer

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Part B

2

Explain the steps to show how design data architecture is used to manage the data analysis.

10 marks

Answer

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OR
3

Discuss the various types of emergencies that may come across at the workplace.

10 marks

Answer

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4

Explain in detail about the benefits of using Spark, Scala and Impala.

10 marks

Answer

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OR
5

With a neat diagram explain the Knowledge management needs to deal with knowledge items.

10 marks

Answer

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6

What are outliers and explain the process involved in detecting them?

10 marks

Answer

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OR
7

With the help of an example explain in detail about MapReduce technique.

10 marks

Answer

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8

Explain in detail about various types of machine learning algorithms.

10 marks

Answer

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OR
9

Give case studies to explain the practical uses of machine learning algorithms.

10 marks

Answer

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10

List out the insights out of the visualization tools. Explain.

10 marks

Answer

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OR
11

Write down steps involved in Data Visualization using InTableu tool. Explain.

10 marks

Answer

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About this paper

This page contains the question paper of BIG DATA ANALYTICS from JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD for B.Tech IT IV I, May/June - 2019, R15.

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