B.TechSemester 62024-25Data AnalyticsBADS601
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Data Analytics (BADS601) - AKTU Question Paper 2024-25

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU Data Analytics Previous Year Question Paper for B.Tech Semester 6, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 6
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Data Analytics (BADS601) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 02 x 7 = 14
  • a
    Describe Big Data. List real world Big Data examples
  • b
    Differentiate between A nalysis and Reporting
  • c
    Appraise the need of Outlier removal in the Regression Analysi s
  • d
    Explain multivariate analysis
  • e
    Enumerate sampling data in a stream
  • f
    Correlate CLIQUE with high dimensional clustering
  • g
    Discuss some most popular too ls for data visualization
Section BAttempt any three of the following: 07 x 3 = 21
  • a
    Illustrate various stage s in Big Data lifecycle
  • b
    Summarize the utility of Neur al Network in Analytics
  • c
    Briefly discuss the steps in query processing
  • d
    Describe the process of minin g frequent item sets from an FP-Tree
  • e
    Compare and contrast the No SQL with RDBMS databases
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    Discuss the data preparation stage of the data analytics lif e cycle. Why is this stage often considered the most time-consuming?
  • b
    Explain the importance of dat a analytics in today's business environment? Discuss at least three key benefits organizations can derive from effectively leveraging data analytics
  • a
    A r g u e t h e e f f e c t i v e n e s s o f F u z z y L o g i c i n t h e p r e s e n c e o f u ncertainty in the data. Differentiate it with the crisp sets with an example
  • b
    Determine how the PCA can help in improving the performance of SVM classifier. Do you agree with statement “ The use of PCA on the given dataset can effectively reduce its dimension while preserving its key characteristics”, defend your opinion
  • a
    Simulate sentiment analysis a pplication with real world example
  • b
    Justify how the Real-time Anal ytics Platforms (RTAP) can aid in analytics and real time decision making
  • a
    Illustrate the working of k-means clustering algorithm. How it is different than the K- Medoids method?
  • b
    Appraise the Apriori algorith m in terms of the associated advantages limitations
  • a
    Explain Apache Hive emphasizi ng its application in querying and managing large datasets stored in Hadoop
  • b
    Justify the use of R programming for data visualization. Ill ustrate data exporting through R programming language

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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