MCASemester 42024-25Data AnalyticsKCA034

Data Analytics (KCA034) - AKTU Question Paper 2024-25

MCA · Semester 4 · Free PDF Download

This is the official AKTU Data Analytics Previous Year Question Paper for MCA Semester 4, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:MCA
Semester:Semester 4
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Data Analytics (KCA034) — extracted question text · 100 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    Explain various applicati ons of data analytics
  • b
    Differentiate between Analysis and Reporting
  • c
    Define Bayesian inference
  • d
    Explain the stochastic search method
  • e
    How is stream processing differe nt from traditional data processing?
  • f
    Describe data streaming
  • g
    Explain the significance of support and confidence in the cont ext of frequent itemsets
  • h
    Explain the method of mining frequent itemsets. 4 K2 i. Explain R tool's graphical user interface 5 K2 j. List two Data Visualization Tool
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Explain all phases of the d ata analytics lifecycle
  • b
    Describe the concept of extra cting fuzzy models from data
  • c
    Discuss the stock marke t prediction case study
  • d
    Differentiate between CLIQU E and ProCLUS clustering
  • e
    Describe Hadoop and its architecture
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    How the data analytics is im portant for various industries? Explain with an example
  • b
    Discuss Bigdata, its characteristics and sources of data
  • a
    Explain the concept of Princ ipal Component Analysis (PCA)
  • b
    Explain how support vector mach ines (SVMs) utilize kernel fu nctions to handle non-linearly separable data
  • a
    Illustrate the Real time analytics platform. Explain it with “Real time sentiment analysis” case study
  • b
    Illustrate the benefits and limitations of Filtering stream technique
  • a
    Explain hierarchical clustering with a suitable example
  • b
    Describe market-based modelling with a suitable example
  • a
    Explain MapReduce, Hive, Pig and HBase in Data Analytics
  • b
    Compare and contrast NoSQL d atabases with traditional SQL databases. List four main types of NoSQL databases

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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