Home › AKTU PYQ › Big Data and Analytics › Important Questions › Unit 1

Big Data and Analytics Unit 1 – Introduction to Big Data: important questions for AKTU

Unit 1 (Introduction to Big Data) questions that AKTU repeats most often. This unit carries about 34 marks per paper. Start with the repeated questions, then the most asked topics.

Most repeated Unit 1 questions

  • Describe the importance and applications of Big Data in different industries such as healthcare, finance, and e-commerce. How does Big Data contribute to decision-making in these sectors? (7 marks, 2025, Big Data Technology Components) – also asked in 2018, 2022, 2023, 2024
  • Discuss the 5 Vs used in Big Data with the help of an example. (7 marks, 2025, Big Data Characteristics) – also asked in 2018, 2022, 2023, 2024
  • Describe the "5 Vs" of Big Data. What do each of these terms represent in the context of Big Data, and why are they essential considerations for data management and analysis? (10 marks, 2024, Big Data Characteristics) – also asked in 2018, 2022, 2023, 2025

Most important Unit 1 topic

  • Big Data Introduction (Unit 1: Introduction to Big Data) – asked 15 times in 2018, 2022, 2023, 2024, 2025

Most asked Unit 1 topics

  • Big Data Introduction – asked 15 times
  • Big Data Analytics – asked 8 times
  • Big Data Characteristics – asked 7 times

More Unit 1 previous year questions

  • Define Big Data. What are its key characteristics. (2 marks, 2025, Big Data Introduction)
  • List any five big data platforms. (2 marks, 2025, Big Data Introduction)
  • Describe its Big Data's evolution over time. Discuss the key drivers behind the rise of Big Data. (7 marks, 2025, Big Data Introduction)
  • Discuss the various types of analytics used in Big Data. (7 marks, 2025, Big Data Analytics)
  • What is the role of Big Data analytics in intelligent data analysis. (7 marks, 2025, Big Data Analytics)

Unit 1 syllabus topics

  • Big Data Introduction
  • Big Data Characteristics
  • Big Data Technology Components
  • Big Data Security and Privacy
  • Big Data Analytics