What are the key features and characteristics of distributed pervasivecomputing?
Please rotate your device horizontally for split view
Access and download Distributed Computing question papers from Savitribai Phule Pune University (SPPU). Our collection includes INSEM (Internal Semester) and ENDSEM (End Semester) exam papers.
We offer 4 question papers for Distributed Computing, covering various exam patterns and years. All papers are in PDF format for easy viewing and download.
Prepare for mid-term evaluations with Distributed Computing INSEM papers, aligned with the SPPU exam pattern and syllabus.
Access Distributed Computing ENDSEM papers covering the entire syllabus, essential for final exam preparation.
Our question-paper viewer enables you to:
SPPU Question Papers Hub is focused entirely on SPPU previous year papers, with cleaner discovery by branch, semester, and subject.
Distributed Computing is a key subject in the SPPU curriculum. Our question paper collection helps students understand exam patterns, practice effectively, and improve academic performance.
Explore Distributed Computing resources including SPPU question papers from Savitribai Phule Pune University. Find INSEM and ENDSEM papers for effective examination preparation. Our platform offers academic resources, a PDF viewer for online study, university question papers, and materials for semester examinations.
Download all INSEM question papers as ZIP
Download all ENDSEM question papers as ZIP
Download all question papers (INSEM + ENDSEM) as ZIP
Pre-rendered question cards from available structured metadata.
What are the key features and characteristics of distributed pervasivecomputing?
How would you analyze and illustrate the intricate relationship between middleware and the three-tier architecture through a detailed diagram, demonstrating their interconnected functionalities and roles within a system?
Can you summarize the key components and objectives of Intelligent Transportation Systems (ITS) in a brief overview?
Can you enumerate the various types of distributed systems?
What are the primary challenges related to data storage and retrieval in distributed computing environments, and how do they influence the overall performance and efficiency of the system?
Can you summarize the key characteristics and distinguishing features of different distributed system models in a concise manner?
“Why is there a necessity for the Google File System (GFS), and could you elaborate on its workings in detail?
Explain Any Two from below: 1) Eager Replication, 2) Lazy Replication 3) Quorum based Replication.
Discuss two consistency models in detail. Why is consistency important? Justify your answer.
Differentiate between Amazon web services, Azure Cloud and Google cloud Platform?
Explain Message Broker and Stream Processing in detail ?
Explain Distributed hash table, distributed inverted Indexing?
| Subject Name | Distributed Computing |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417531 |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | [6411]-185 |
| Academic Year | B.E. |
| Branch Name | AI&DS |
| Exam Type | INSEM |
| Exam Session | 2025 Mar INSEM |
| Watermark | ['CEGP013091', '49.248.216.237 11/03/2025 13:52:37 static-237'] |
Explain issues related to data storage and retrieval in Al & DS.
List & Explain various Characteristics of Distributed Systems.
Explain integrating Al and data science in Predictive Maintenance and its applications.
Outline the goals of distributed systems.
Discuss the use of Al & DS in Healthcare and Medical Diagnostics.
Write Note on : i) Distributing computational tasks. ii) Communication overhead in Distributed Computing.
Differentiate between Hadoop Distributed File System (HDFS) and Google File System (GFS).
Explain Cluster Computing.
Write note on Eager Replication & Lazy Replication.
Explain Consistency Model & its Types.
Differentiate between AWS & Microsoft Azure.
Explain Message Brokers and Stream Processing in Distributed Computing.
| Subject Name | Distributed Computing |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417531 |
| Max Marks | 30 |
| Total Questions | 4 |
| Duration | 1 Hour |
| Paper Number | 6270-194 |
| Academic Year | B.E. |
| Branch Name | AI&DS |
| Exam Type | INSEM |
| Exam Session | 2024 Mar INSEM |
| Watermark | ['CEGP013091', '49.248.216.238 21/03/2024 13:35:18 static-238'] |
Explain the key differences between Centralized and Distributed Load Balancing Techniques.
Describe what Consensus algorithms are and explain how one specific algorithm works.
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.
Describe one variant of Paxos and explain how it differs from the original Paxos algorithm.
Describe how Genetic Algorithms can be used for task scheduling and explain their benefits in this context.
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?
Explain Elastic Averaging SGD.
Explain Systems and Architectures for Distributed Machine Learning.
What is Apache Spark? Explain the working of Apache Spark.
Explain i) Federated Learning. ii) Elastic Averaging SGD.
How would you apply Secure Multi-Party Computation (SMPC) to protect sensitive data in a collaborative machine learning task?
What are the key differences between SIMD and MIMD?
Describe the concepts of Threat Hunting and Visualization and explain how they are used in cybersecurity.
Summarise the AI-based Intrusion Detection and Threat Mitigation Techniques.
Explain Anomaly as well as Behavior AI-based Intrusion Detection & Threat Mitigation Techniques
Discuss about various types of real-time analytics used in distributed computing systems.
Explain how reinforcement learning can be applied to load balancing in distributed systems, highlighting its potential advantages.
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?
Describe the different types of data ingestion and explain how each type is used in data processing workflows.
Describe Al-based intrusion detection and threat mitigation techniques and explain how they help enhance network security.
| Subject Name | Distributed Computing |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417531 |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6404]-386 |
| Academic Year | B.E. |
| Branch Name | Artificial Intelligence & Data Science |
| Exam Type | ENDSEM |
| Exam Session | 2025 May Jun ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.237 27/05/2025 13:36:39 static-237'] |
List and explain any one variant of Paxos in detail.
Explain Fault Tolerance and Recovery in context of Distributed systems.
Explain reinforcement Learning for Dynamic Load Balancing.
What is consensus algorithms? Explain any one algorithm.
Explain Genetic Algorithms for Task Scheduling.
Compare Centralized Load Balancing & Distributed Load Balancing Techniques.
Explain Systems and Architectures for Distributed Machine Learning.
Write note on i) Federated Learning, ii) Hogwild iii) Elastic Averaging SGD
What is Apache Spark? Explain working of Apache Spark.
Explain how integration of AI algorithms in distributed systems can help in Intelligent Resource Management, Anomaly Detection.
Explain the Big data processing frameworks in distributed computing.
Differentiate between SIMD and MIMD.
Elaborate various scalable data ingestion methods used in distributed computing environments.
Explain how AI and data science can be applied for large-scale data processing and analytics.
Compare SISD and MISD
Discuss about various types of real-time analytics used in distributed computing systems.
Explain Anomaly as well as Behavior AI-based Intrusion Detection&Threat Mitigation Techniques
Explain how can Secure Multi-Party Computation(SMPC)be effectively implemented to ensure confidentiality and privacy preservation.
Enlist the various security challenges in distributed systems? Elaborate any three challenges in detail?
Write a Short Note a Threat Hunting and Visualization.
| Subject Name | Distributed Computing |
|---|---|
| Semester | VIII |
| Pattern Year | 2019 |
| Subject Code | 417531 |
| Max Marks | 70 |
| Total Questions | 8 |
| Duration | 2½ Hours |
| Paper Number | [6263]-391 |
| Academic Year | B.E. |
| Branch Name | AI&DS |
| Exam Type | ENDSEM |
| Exam Session | 2024 May Jun ENDSEM |
| Watermark | ['CEGP013091', '49.248.216.238 11/05/2024 13:30:53 static-238'] |