Big Data and Analytics (BCDS601) AKTU predicted paper 2026-27
AI-predicted paper for Big Data and Analytics based on 8 past papers (2018, 2022, 2023, 2024, 2025). NOT an official AKTU paper. Use as a revision tool only.
Paper pattern
- Section A: Attempt all questions. (14 marks)
- Section B: Attempt any THREE questions out of five. (21 marks)
- Section C: Attempt ONE question from each pair (a or b). (35 marks)
Why these questions
- Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) dominates — 25% avg weightage
- Asked every year: Big Data Introduction, Big Data Characteristics
- Low priority (never asked): Hadoop Ecosystem, Advanced MapReduce
- Most repeated topic: HDFS Design and Concepts
Section A – 2-mark questions
- Write the difference between operational and analytical system.
- List down the tools related with Hadoop.
- Define the Hadoop Distributed File System (HDFS). How is it different from traditional file systems?
- Compare and Contrast No SQL Relational Databases.
- What are the key differences between Hive and traditional SQL databases
- List down the entity of YARN.
- Define Big Data. What are its key characteristics.
Section B – sample questions
- Evaluate the use of Hive, Pig, and HBase for different Big Data application scenarios. When would you choose one over the others?
- How does Hadoop system analyze data? Explain your answer with example.
- What is the role of Big Data analytics in intelligent data analysis.