Big Data and Analytics PYQ 2023-24 AKTU Question Paper

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

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

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. What are the different types of digital data commonly encountered in Big Data applications? Provide examples of structured, semi-structured, and unstructured data. (2 marks, 2023-24)
  2. Q1a. List the differences between structured, semi-structured, and unstructured data. (2 marks, 2023-24)
  3. Q1b. What constitutes a Big Data platform? (2 marks, 2023-24)
  4. Q1b. Write short note on Drivers of Big Data. (2 marks, 2023-24)
  5. Q1c. What is Hadoop Streaming? (2 marks, 2023-24)
  6. Q1c. List the core functionalities of Apache Hadoop. (2 marks, 2023-24)
  7. Q1d. Discuss the data formats commonly used in Hadoop environments. (2 marks, 2023-24)
  8. Q1d. Explain how the data format of Hadoop is important. (2 marks, 2023-24)
  9. Q1e. Describe the concepts of file sizes, block sizes, and block abstraction in HDFS. (2 marks, 2023-24)
  10. Q1e. List the steps involved in using Sqoop to import data from RDBMS into Hadoop. (2 marks, 2023-24)
  11. Q1f. What are the benefits and challenges of using HDFS for distributed storage and processing? (2 marks, 2023-24)
  12. Q1f. Define how file system Works. (2 marks, 2023-24)
  13. Q1g. What are the characteristics and use cases for schedulers such as Fair Scheduler and Capacity Scheduler? (2 marks, 2023-24)
  14. Q1g. List the key differences between the fair scheduler and the capacity scheduler in Hadoop. (2 marks, 2023-24)
  15. Q1h. What is YARN? (2 marks, 2023-24)
  16. Q1h. List the Data Type used in Mango DB. (2 marks, 2023-24)
  17. Q1i. What is Apache Pig? (2 marks, 2023-24)
  18. Q1i. Define HiveQL and its key features. (2 marks, 2023-24)
  19. Q1j. Describe the Grunt shell in Apache Pig. (2 marks, 2023-24)
  20. Q1j. List out the Data Processing Operators used in Pig. (2 marks, 2023-24)
  21. Q2a. Distinguish between data analysis and reporting in the context of Big Data. How does advanced analytics go beyond traditional reporting to uncover hidden patterns, trends, and correlations in data? (10 marks, 2023-24)
  22. Q2a. Discuss why Big Data is crucial for modern businesses and industries. (10 marks, 2023-24)
  23. Q2b. Explain Apache Hadoop and its role in big data processing. What are the core components of the Apache Hadoop ecosystem, and how do they work together to enable distributed data storage and processing? (10 marks, 2023-24)
  24. Q2b. Discuss Hadoop Distributed File System (HDFS), and how does it work. (10 marks, 2023-24)
  25. Q2c. 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, 2023-24)
  26. Q2c. Discuss the benefits and challenges of using HDFS for big data storage and processing. (10 marks, 2023-24)
  27. Q2d. Define NoSQL databases. What are the key characteristics and benefits of NoSQL databases compared to traditional relational databases? (10 marks, 2023-24)
  28. Q2d. Differentiate NoSQL databases from traditional RDBMS. Also list the key characteristics and use cases for NoSQL databases. (10 marks, 2023-24)
  29. Q2e. Provide an overview of Apache Hive architecture and its components. How does Hive translate SQL-like queries into MapReduce jobs for data processing in Hadoop? (10 marks, 2023-24)
  30. Q2e. Discuss the role of Zookeeper in monitoring a Hadoop cluster. (10 marks, 2023-24)
  31. Q3a. Describe the "5 Vs" of Big Data. What do each of these terms represent in the context of Big Data, and why are they essential considerations for data management and analysis? (10 marks, 2023-24)
  32. Q3a. Distinguishes Big Data analytics from traditional data analytics. Also list the techniques and tools used in Big Data analytics. (10 marks, 2023-24)
  33. Q3b. Provide examples of real-world applications where Big Data analytics have been instrumental. How do industries such as healthcare, finance, e-commerce, and transportation leverage Big Data to gain insights and create value? (10 marks, 2023-24)
  34. Q3b. Discuss the various Big Data Features in terms of Security, Protection and Auditing. (10 marks, 2023-24)
  35. Q4a. 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, 2023-24)
  36. Q4a. Discuss the roles of additional components like HBase, Pig, and Hive in the Hadoop ecosystem. (10 marks, 2023-24)
  37. Q4b. Discuss the process of developing a MapReduce application. What are the key steps involved in writing, testing, and deploying a MapReduce program? (10 marks, 2023-24)
  38. Q4b. Discuss the Working of Map Reduce and its Characteristics (10 marks, 2023-24)
  39. Q5a. Explain how HDFS stores, reads, and writes files. Describe the sequence of operations involved in storing a file in HDFS, retrieving data from HDFS, and writing data to HDFS. (10 marks, 2023-24)
  40. Q5a. Explain how HDFS implement data replication and list its advantages. (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