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EndsemNov 20222019 patternTE IT

Data Science & Big Data Analytics (DSBDA) SPPU Endsem Question Paper Nov 2022

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated DSBDA questions
Subject code
314452
Pattern
2019 pattern
Exam
Endsem
Session
Nov 2022
Max. marks
70
Time
2½ Hours
Semester
II
Paper code
[5926]-128

Printed for: T.E. (Information Technology)

Instructions to the candidates

  1. Answer Q1 or Q2, Q3 or Q4, Q5 or Q6, Q7 or Q8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicate full marks.
  4. Assume suitable data, if necessary.

Questions

  1. Q1

    1. a)

      i) Explain Google File system and its advantages. ii) Explain ETL in Big data. [5]

      [5]
    2. b)

      Explain Hadoop distributed file system.

      Also asked:Nov 2025

      [8]

  2. Q2

    1. a)

      i) Write 5 Hadoop Shell commands. ii) Explain Role Job tracker and Task Tracker in Hadoop Architecture. [5]

      Also asked:Nov 2025

      [5]
    2. b)

      Explain Map Reduce with proper diagram for word count example.

      Also asked:May 2022

      [8]

  3. Q3

    1. a)

      Explain different types of Big Data Analysis techniques.

      Also asked:Nov 2025

      [8]
    2. b)

      i) Explain Different Data Transformation techniques. ii) What is dataset? Explain with python syntax of 2 different types of dataset used in Big data. [6]

      Also asked:Nov 2025

      [3]

  4. Q4

    1. a)

      i) Explain Mean, Mode and variance and standard deviation with suitable example. ii) Explain Data Standardization. [3]

      Also asked:Nov 2025

      [8]
    2. b)

      Draw and explain Architecture of HIVE. 2

      [6]

  5. Q5

    1. a)

      i) How data visualization help Big data Analytics. ii) List the conventional Data visualization tools. Explain any Two. [6]

      Also asked:Nov 2025

      [4]
    2. b)

      Explain data visualization with the help of example? What are the advantages of data visualization?

      Also asked:Nov 2025

      [8]

  6. Q6

    1. a)

      Explain any 4 Types of data visualization with example.

      Also asked:Nov 2025

      [8]
    2. b)

      i) Explain different data visualization tools. ii) Explain Data Visualization with Tableau. [4]

      Also asked:May 2025 ·May 2022

      [6]

  7. Q7

    1. a)

      Explain Text mining with example.

      [8]
    2. b)

      Explain Big Data Analytics Challenges in brief.

      Also asked:Nov 2025 ·May 2024 ·May 2022

      [9]

  8. Q8

    1. a)

      Explain four Big Data use cases.

      Also asked:Nov 2025

      [8]
    2. b)

      Explain types of Mobile Analytics. 

      Also asked:Nov 2025

      [9]