Big Data and Analytics Unit 4 – Hadoop Ecosystem YARN NoSQL Spark Scala: AKTU previous year questions
46 AKTU questions from Unit 4 (Hadoop Ecosystem YARN NoSQL Spark Scala) asked in 2018–2025, tagged by marks, year and topic. In short: about 40 marks of every paper come from this unit; the most asked topic is Hadoop Ecosystem and YARN (19 times); 38 questions came back in a later year. The latest ones are listed below; on the page you can filter them by 2-mark or long questions, topic and repeats.
Unit 4 previous year questions
- What are the main components of the Hadoop ecosystem? (2 marks, 2025, Hadoop Ecosystem and YARN)
- Explain briefly the role of YARN in the Hadoop ecosystem. (2 marks, 2025, Hadoop Ecosystem and YARN)
- What are the main components of the Hadoop ecosystem? (2 marks, 2025, Hadoop Ecosystem and YARN)
- What is the role of YARN in Hadoop? (2 marks, 2025, Hadoop Ecosystem and YARN)
- Evaluate the trade-offs between real-time and batch processing in distributed systems. How do technologies like YARN and Spark support both paradigms (7 marks, 2025, Apache Spark)
- Discuss the detailed architecture of YARN along with its components. (7 marks, 2025, Hadoop Ecosystem and YARN)
- Explain the key components of the Hadoop ecosystem and describe how they work together to enable large-scale data storage, processing, and analysis. (7 marks, 2025, Hadoop Ecosystem and YARN)
- Evaluate the use of NoSQL databases in real-time big data applications. Discuss their strengths and weaknesses compared to SQL databases. (7 marks, 2025, NoSQL Databases)
- Explain the components of features and components of Apache Spark. (7 marks, 2025, Apache Spark)
- Discuss the advantages and challenges of deploying Hadoop in a cloud environment. Explain how cloud platforms enhance the scalability, flexibility, and cost-efficiency of Hadoop clusters. (7 marks, 2025, Hadoop Ecosystem and YARN)
- Evaluate the performance benefits and limitations of Spark over traditional MapReduce in big data processing. (7 marks, 2025, Apache Spark)
- What are the characteristics and use cases for schedulers such as Fair Scheduler and Capacity Scheduler? (2 marks, 2024, Hadoop Ecosystem and YARN)
Most asked Unit 4 topics
- Hadoop Ecosystem and YARN – asked 19 times
- NoSQL Databases – asked 9 times
- MongoDB – asked 8 times
Unit 4 question pattern
- 2-mark questions: 15 asked in 2018–2025
- 7-mark questions: 7 asked in 2018–2025
- 10-mark questions: 24 asked in 2018–2025
- About 40 marks from Unit 4 in every paper
- 38 questions were asked again in a later year
Unit 4 questions year by year
- 2025: 11 Unit 4 questions asked (57 marks across that year's papers)
- 2024: 12 Unit 4 questions asked (88 marks across that year's papers)
- 2023: 13 Unit 4 questions asked (98 marks across that year's papers)
- 2022: 5 Unit 4 questions asked (34 marks across that year's papers)
- 2018: 5 Unit 4 questions asked (42 marks across that year's papers)