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EndsemMay 20252019 patternBE AI&DS

Distributed Computing SPPU Endsem Question Paper May 2025

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 2025
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6404]-386

Printed for: B.E. (Artificial Intelligence & Data Science)

Questions

  1. Q1

    1. a)

      Explain the key differences between Centralized and Distributed Load Balancing Techniques.

      Also asked:May 2024

      [6]
    2. b)

      Describe what Consensus algorithms are and explain how one specific algorithm works.

      Also asked:May 2024

      [6]
    3. c)

      Compare and contrast how Weighted Round Robin and Least Connection load balancing algorithms would perform in a system with varying server capacities and network loads.

      [6]

  2. Q2

    1. a)

      Describe one variant of Paxos and explain how it differs from the original Paxos algorithm.

      [6]
    2. b)

      Describe how Genetic Algorithms can be used for task scheduling and explain their benefits in this context.

      Also asked:May 2024

      [6]
    3. c)

      Apply load balancing and resource allocation strategies to optimize performance in a cloud computing environment. How would you implement these strategies to handle varying workloads? 2

      [6]

  3. Q3

    1. a)

      Explain Elastic Averaging SGD.

      [9]
    2. b)

      Explain Systems and Architectures for Distributed Machine Learning.

      Also asked:May 2024

      [8]

  4. Q4

    1. a)

      What is Apache Spark? Explain the working of Apache Spark.

      Also asked:May 2024

      [9]
    2. b)

      Explain i) Federated Learning. ii) Elastic Averaging SGD.

      Also asked:May 2024

      [8]

  5. Q5

    1. a)

      How would you apply Secure Multi-Party Computation (SMPC) to protect sensitive data in a collaborative machine learning task?

      [6]
    2. b)

      What are the key differences between SIMD and MIMD?

      [6]
    3. c)

      Describe the concepts of Threat Hunting and Visualization and explain how they are used in cybersecurity.

      [6]

  6. Q6

    1. a)

      Summarise the AI-based Intrusion Detection and Threat Mitigation Techniques.

      Also asked:May 2024

      [6]
    2. b)

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

      Also asked:May 2024

      [6]
    3. c)

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

      Also asked:May 2024

      [6]

  7. Q7

    1. a)

      Explain how reinforcement learning can be applied to load balancing in distributed systems, highlighting its potential advantages.

      [9]
    2. b)

      Apply different Big Data processing frameworks in a distributed computing environment to solve a specific data analysis problem. How would you choose and implement the appropriate framewcrk?

      [8]

  8. Q8

    1. a)

      Describe the different types of data ingestion and explain how each type is used in data processing workflows.

      [9]
    2. b)

      This part has equations that don’t show as text. Open the PDF to read it.

      [8]