B.TechSemester 62024-25Data AnalyticsBIT601
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Data Analytics (BIT601) - 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 (BIT601) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 02 x 7 = 14
  • a
    What are the main sources o f data in data analytics?
  • b
    What is the purpose of the 'operationalization' phase?
  • c
    What is the purpose of support vector machines (SVM) in classification?
  • d
    What are fuzzy decision trees?
  • e
    Define stream computing and men tion one of its key features
  • f
    What are the advantages of K-means clustering?
  • g
    What is the purpose of Map Re duce in big data processing?
Section BAttempt any three of the following: 07 x 3 = 21
  • a
    What are the different stages (phases) in a data analytics p roject? Explain each stage in simple words
  • b
    Compare various types of support vector and kernel methods o f data analysis
  • c
    Discuss how mining data stream s are applied in stock market predictions. What are the challenges and benefits of using stream data here?
  • d
    Describe the Apriori algorith m for mining frequent item sets . How does it work and what are its main steps?
  • e
    What is Pig and Hive? Compare their features and uses in dat a analysis
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    What is the difference betwee n data analysis and data report ing? Give examples to show how each is used
  • b
    What happens in the ‘model planning’ and ‘model building’ st ages? How are these two different?
  • a
    What are neural networks? Explain how learning and generaliz ation occur in neural networks. Include a simple diagram if possible
  • b
    Given data = {1, 2, 3, 4; 4, 5, 6, 7}. Compute the principal components using the PCA algorithm
  • a
    What is a Real-Time Analytics Platform (RTAP)? Discuss some applications of RTAP in industries today
  • b
    Explain the concept of sampling in data streams. Why is it n ecessary, and how does it help in data analysis?
  • a
    Why is parallelism important in clustering large datasets? D escribe some techniques used to achieve parallel clustering
  • b
    What is Pro CLUS? How is it di fferent from CLIQUE in handling clustering?
  • a
    What is sharding in NoSQL dat abases? Why is it important for handling large volumes of data?
  • b
    What is the Hadoop Distribut ed File System (HDFS)? How does it handle data storage and fault tolerance?

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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