Big Data and Analytics Unit 3 – HDFS and Hadoop Environment: important questions for AKTU
Unit 3 (HDFS and Hadoop Environment) questions that AKTU repeats most often. This unit carries about 32 marks per paper. Start with the repeated questions, then the most asked topics.
Most repeated Unit 3 questions
- Demonstrate the design of HDFS and concept in detail. (7 marks, 2025, HDFS Design and Concepts) – also asked in 2018, 2022, 2023, 2024
- Explain the core concepts of HDFS, including NameNode, DataNode, and the file system namespace. How do these components work together to manage data storage and replication in Hadoop clusters? (10 marks, 2024, HDFS Design and Concepts) – also asked in 2018, 2022, 2023, 2025
- Describe the Hadoop Distributed File System (HDFS). How does HDFS manage the storage and replication of data across a distributed cluster of machines? (10 marks, 2024, HDFS Design and Concepts) – also asked in 2018, 2022, 2023, 2025
Most important Unit 3 topic
- HDFS Design and Concepts (Unit 3: HDFS and Hadoop Environment) – asked 33 times in 2018, 2022, 2023, 2024, 2025
Most asked Unit 3 topics
- HDFS Design and Concepts – asked 33 times
- HDFS Read Write Operations – asked 8 times
- Hadoop IO and Serialization
More Unit 3 previous year questions
- Define the Hadoop Distributed File System (HDFS). How is it different from traditional file systems? (2 marks, 2025, HDFS Design and Concepts)
- What is HDFS in the context of Hadoop? (2 marks, 2025, HDFS Design and Concepts)
- What is the role of file system interfaces in big data storage environments (2 marks, 2025, HDFS Design and Concepts)
- Discuss Master Slave and Peer-Peer replication in detail. (7 marks, 2025, HDFS Design and Concepts)
- Explain the architecture and use cases of Apache Flume and Apache Sqoop in Big Data systems. How do these tools support efficient data ingestion from structured and unstructured sources (7 marks, 2025, HDFS Read Write Operations)
Unit 3 syllabus topics
- HDFS Design and Concepts
- HDFS Read Write Operations
- Hadoop IO and Serialization
- Hadoop Environment Setup