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EndsemMay 20242019 patternBE AI&DS

Distributed Computing SPPU Endsem Question Paper May 2024

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

Open the PDFMost repeated Distributed Computing questions
Subject code
417531
Pattern
2019 pattern
Exam
Endsem
Session
May 2024
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6263]-391

Printed for: B.E.(AI&DS)

Instructions to the candidates

  1. Answer Q1or 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. Use electronic pocket calculator is allowed.

Questions

  1. Q1

    1. a)

      List and explain any one variant of Paxos in detail.

      [6]
    2. b)

      Explain Fault Tolerance and Recovery in context of Distributed systems.

      [6]
    3. c)

      Explain reinforcement Learning for Dynamic Load Balancing.

      [6]

  2. Q2

    1. a)

      What is consensus algorithms? Explain any one algorithm.

      Also asked:May 2025

      [6]
    2. b)

      Explain Genetic Algorithms for Task Scheduling.

      Also asked:May 2025

      [6]
    3. c)

      Compare Centralized Load Balancing & Distributed Load Balancing Techniques.

      Also asked:May 2025

      [6]

  3. Q3

    1. a)

      Explain Systems and Architectures for Distributed Machine Learning.

      Also asked:May 2025

      [9]
    2. b)

      Write note on i) Federated Learning, ii) Hogwild iii) Elastic Averaging SGD

      Also asked:May 2025

      [8]

  4. Q4

    1. a)

      What is Apache Spark? Explain working of Apache Spark.

      Also asked:May 2025

      [9]
    2. b)

      Explain how integration of AI algorithms in distributed systems can help in Intelligent Resource Management, Anomaly Detection. 2

      [8]

  5. Q5

    1. a)

      Explain the Big data processing frameworks in distributed computing.

      [6]
    2. b)

      Differentiate between SIMD and MIMD.

      [6]
    3. c)

      Elaborate various scalable data ingestion methods used in distributed computing environments.

      [6]

  6. Q6

    1. a)

      Explain how AI and data science can be applied for large-scale data processing and analytics.

      [6]
    2. b)

      Compare SISD and MISD

      [6]
    3. c)

      Discuss about various types of real-time analytics used in distributed computing systems.

      Also asked:May 2025

      [6]

  7. Q7

    1. a)

      Explain Anomaly as well as Behavior AI-based Intrusion Detection&Threat Mitigation Techniques

      Also asked:May 2025

      [9]
    2. b)

      Explain how can Secure Multi-Party Computation(SMPC)be effectively implemented to ensure confidentiality and privacy preservation.

      [8]

  8. Q8

    1. a)

      Enlist the various security challenges in distributed systems? Elaborate any three challenges in detail?

      [9]
    2. b)

      Write a Short Note a Threat Hunting and Visualization. 

      [8]