Big Data and Analytics PYQ 2023-24 AKTU (KDS601) Question Paper

AKTU · BTECH · Semester 6 · Big Data and Analytics · Session 2023-24 · PYQ

AKTU Big Data and Analytics (KDS601) previous year question paper 2023-24 for B.Tech Semester 6. Covers Introduction to Big Data, Hadoop and MapReduce, HDFS…

Open the interactive reader to study this resource on AcademicArk.

Big Data and Analytics AKTU syllabus

  1. Unit 1: Introduction to Big Data
  2. Unit 2: Hadoop and MapReduce
  3. Unit 3: HDFS and Hadoop Environment
  4. Unit 4: Hadoop Ecosystem YARN NoSQL Spark Scala
  5. Unit 5: Hadoop Ecosystem Frameworks Pig Hive HBase

Questions in Big Data and Analytics AKTU PYQ 2023-24

  1. Q1a. List the differences between structured, semi-structured, and unstructured data. (2 marks, 2023-24)
  2. Q1b. Write short note on Drivers of Big Data. (2 marks, 2023-24)
  3. Q1c. List the core functionalities of Apache Hadoop. (2 marks, 2023-24)
  4. Q1d. Explain how the data format of Hadoop is important. (2 marks, 2023-24)
  5. Q1e. List the steps involved in using Sqoop to import data from RDBMS into Hadoop. (2 marks, 2023-24)
  6. Q1f. Define how file system Works. (2 marks, 2023-24)
  7. Q1g. List the key differences between the fair scheduler and the capacity scheduler in Hadoop. (2 marks, 2023-24)
  8. Q1h. List the Data Type used in Mango DB. (2 marks, 2023-24)
  9. Q1i. Define HiveQL and its key features. (2 marks, 2023-24)
  10. Q1j. List out the Data Processing Operators used in Pig. (2 marks, 2023-24)
  11. Q2a. Discuss why Big Data is crucial for modern businesses and industries. (10 marks, 2023-24)
  12. Q2b. Discuss Hadoop Distributed File System (HDFS), and how does it work. (10 marks, 2023-24)
  13. Q2c. Discuss the benefits and challenges of using HDFS for big data storage and processing. (10 marks, 2023-24)
  14. Q2d. Differentiate NoSQL databases from traditional RDBMS. Also list the key characteristics and use cases for NoSQL databases. (10 marks, 2023-24)
  15. Q2e. Discuss the role of Zookeeper in monitoring a Hadoop cluster. (10 marks, 2023-24)
  16. Q3a. Distinguishes Big Data analytics from traditional data analytics. Also list the techniques and tools used in Big Data analytics. (10 marks, 2023-24)
  17. Q3b. Discuss the various Big Data Features in terms of Security, Protection and Auditing. (10 marks, 2023-24)
  18. Q4a. Discuss the roles of additional components like HBase, Pig, and Hive in the Hadoop ecosystem. (10 marks, 2023-24)
  19. Q4b. Discuss the Working of Map Reduce and its Characteristics (10 marks, 2023-24)
  20. Q5a. Explain how HDFS implement data replication and list its advantages. (10 marks, 2023-24)
  21. Q5b. Discuss the Security issues in Hadoop and why it is important for Data analysis. (10 marks, 2023-24)
  22. Q6a. Explain how documents can be created, updated, and deleted in MongoDB. (10 marks, 2023-24)
  23. Q6b. Explain the Various Ecosystem Components used in Hadoop with proper example. (10 marks, 2023-24)
  24. Q7a. Explain the IBM's overall strategy for Big Data, and its key components. (10 marks, 2023-24)
  25. Q7b. Discuss Big SQL, and how it extends SQL capabilities to Big Data environments. (10 marks, 2023-24)

AKTU paper codes: BCDS601, BCS061, KDS601, KCS061, NIT067

Big Data and Analytics previous year papers

More Big Data and Analytics resources

Browse all notes · Semester 6 notes