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AKTU · B.Tech · 6th semester

AKTU Data Analytics (KIT601) Question Paper 2022-23

UniversityDr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
CourseB.Tech, Semester VI
SubjectData Analytics (KIT601)
ExamTheory Examination 2022-23 (even semester)
Time · Marks3 hours · 100 marks
SourceAKTU question paper, from the ABESIT question paper bank
View original PDF Other years

Note: Attempt all Sections. If require any missing data; then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

  1. What are the main characteristics of Big Data?
  2. G eneralize the role of analytical tools in B ig data?
  3. What are the purposes of regression analysis?
  4. What do you mean by fuzzy qualitative model?
  5. Define association rule.
  6. State the benefits of analytic sandbox.
  7. What do you mean by data stream management system?
  8. What do you mean by response modeling?
  9. What are the benefits of visual data exploration?
  10. Mention some main goals of Hadoop.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

  1. Compare and contrast analysis and reporting in data analytics with suitable example.
  2. What is a neural network? How can it be used in analytics?
  3. Explain Apriori association rule mining algorithm.
  4. List the advantages and disadvantages of K-Means clustering.
  5. What is HDFS? How does it handle Big Data?

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

  1. What are the various stages in big data analytics life cycle? Illustrate with a figure, explaining each of them.
  2. What is the difference between regression modelling and Bayesian modeling ? Explain in brief.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Explain the role of principal component analysis in neural networks.
  2. What are the parameters used to characterize any fuzzy membership function?

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Discriminate the concept of sampling data in a stream.
  2. Illustrate various Real Time Analytics Platform s (RTAP s ) with examples .

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Explain the working of CLIQUE algorithm in brief.
  2. Identify the major issues in data stream query processing.

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

  1. Illustrate and explain the concept of Map Reduce framework in brief.
  2. Write R function to check whether the given number is prime or not?

Other years

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