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

Big Data and Analytics (BCDS601) important questions and topics for AKTU

These are ranked by how often AKTU repeats them across 8 papers. Repeated questions and "very likely" topics are the safest marks in the exam.

Most repeated Big Data and Analytics questions

  • Discuss the process of job scheduling and task execution in Hadoop. How does Hadoop ensure fault tolerance during task execution? (7 marks, 2025, MapReduce Framework) – also asked in 2018, 2022, 2023, 2024
  • Evaluate the use of Hive, Pig, and HBase for different Big Data application scenarios. When would you choose one over the others? (7 marks, 2025, Apache Hive) – also asked in 2018, 2022, 2023, 2024
  • 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
  • Demonstrate the design of HDFS and concept in detail. (7 marks, 2025, HDFS Design and Concepts) – also asked in 2018, 2022, 2023, 2024
  • Discuss the detailed architecture of Map-Reduce. (7 marks, 2025, MapReduce Framework) – also asked in 2018, 2022, 2023, 2024

High-probability Big Data and Analytics topics

  • HDFS Design and Concepts (Unit 3: HDFS and Hadoop Environment) – asked 33 times in 2018, 2022, 2023, 2024, 2025
  • Hadoop Ecosystem and YARN (Unit 4: Hadoop Ecosystem YARN NoSQL Spark Scala) – asked 19 times in 2018, 2023, 2024, 2025
  • MapReduce Framework (Unit 2: Hadoop and MapReduce) – asked 17 times in 2018, 2022, 2023, 2024, 2025