Big Data and Analytics PYQ 2024-25 AKTU (BCS061) Question Paper

AKTU · BTECH · Semester 6 · Big Data and Analytics · Session 2024-25 · PYQ

AKTU Big Data and Analytics (BCS061) previous year question paper 2024-25 for B.Tech Semester 6. Covers Introduction to Big Data, Hadoop and MapReduce, HDFS…

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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 2024-25

  1. Q1a. List any five big data platforms. (2 marks, 2024-25)
  2. Q1b. How does Apache Hadoop help process the data? (2 marks, 2024-25)
  3. Q1c. What is HDFS in the context of Hadoop? (2 marks, 2024-25)
  4. Q1d. How does Hive differ from Pig in the Hadoop ecosystem? (2 marks, 2024-25)
  5. Q1e. What are the main components of the Hadoop ecosystem? (2 marks, 2024-25)
  6. Q1f. What are the main components of the Hadoop ecosystem? (2 marks, 2024-25)
  7. Q1g. What is the role of YARN in Hadoop? (2 marks, 2024-25)
  8. Q2a. Discuss the various types of analytics used in Big Data. (7 marks, 2024-25)
  9. Q2b. Discuss Master Slave and Peer-Peer replication in detail. (7 marks, 2024-25)
  10. Q2c. Discuss the detailed architecture of Map-Reduce. (7 marks, 2024-25)
  11. Q2d. Discuss in brief about the cluster specification. Describe how to setting up a Hadoop Cluster? (7 marks, 2024-25)
  12. Q2e. Explain the architecture of HIVE. Also explain data flow in HIVE. (7 marks, 2024-25)
  13. Q3a. Discuss the 5 Vs used in Big Data with the help of an example. (7 marks, 2024-25)
  14. Q3b. Detail about the analysis vs. reporting while introducing the Big Data. (7 marks, 2024-25)
  15. Q4a. Discuss the detailed architecture of YARN along with its components. (7 marks, 2024-25)
  16. Q4b. 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, 2024-25)
  17. Q5a. Demonstrate the design of HDFS and concept in detail. (7 marks, 2024-25)
  18. Q5b. Illustrate the process of reading a block in Hadoop. (7 marks, 2024-25)
  19. Q6a. Explain the components of features and components of Apache Spark. (7 marks, 2024-25)
  20. Q6b. 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, 2024-25)
  21. Q7a. Explain the role of Pig Latin as a high-level scripting language for processing large datasets in cloud environments. How does using Pig Latin on cloud-based Hadoop platforms simplify data transformation and analysis compared to traditional MapReduce programming? (7 marks, 2024-25)
  22. Q7b. Compare and Contrast (i) Apache Pig vs Map-Reduce (ii) Pig vs SQL (iii) Pig vs HIVE (7 marks, 2024-25)

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

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