Introduction to Data Analytics and Visualization Unit 3 – Mining Data Streams: important questions for AKTU
Unit 3 (Mining Data Streams) questions that AKTU repeats most often. This unit carries about 26 marks per paper. Start with the repeated questions, then the most asked topics.
Most repeated Unit 3 questions
- Discuss as a case study – Real time sentiment Analysis. (7 marks, 2024, Real Time Analytics) – also asked in 2025, 2026
- Describe stream data model and architecture with neat diagram. (7 marks, 2026, Stream Basics) – also asked in 2023
- Describe the concept of decaying windows in stream analytics. How does it help in managing memory and computational resources? (7 marks, 2025, Window Models) – also asked in 2023
Most important Unit 3 topic
- Real Time Analytics (Unit 3: Mining Data Streams) – asked 8 times in 2023, 2024, 2025
Most asked Unit 3 topics
- Real Time Analytics – asked 8 times
- Stream Basics – asked 5 times
- Counting In Streams – asked 4 times
More Unit 3 previous year questions
- Define data streams with one real-time example. (2 marks, 2026, Stream Basics)
- Explain sampling and filtering techniques in data streams. (7 marks, 2026, Sampling And Filtering)
- Analyze challenges in mining high-speed data streams. (7 marks, 2026, Stream Basics)
- Analyze the challenges of real-time sentiment analysis. (2 marks, 2025, Real Time Analytics)
- Discuss the role of Real-Time Analytics Platforms (RTAP) in modern enterprises. Provide a case study to support your explanation. (7 marks, 2025, Real Time Analytics)
Unit 3 syllabus topics
- Stream Basics
- Sampling And Filtering
- Counting In Streams
- Window Models
- Real Time Analytics