AKTU Big Data (BOE099) Question Paper 2025-26

Note: Attempt all Sections. If require any missing data; then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 7 = 14 marks

1. L ist the key characteristics of Big Data .
2. Differentiate between structured, semi - structured, and unstructured data.
3. State the role of HDFS in Hadoop .
4. Enumerate the input and output formats in MapReduce .
5. What is block size in HDFS and why is it important?
6. List the advantages of scala over java.
7. What is Apache Hive and its use?

Section B

Q2. Attempt any three of the following · 7 × 3 = 21 marks

1. Discuss the importance and applications of Big Data in various domains such as healthcare, finance, e-commerce, and social media.
2. Describe the MapReduce programming model, explaining the roles of Mapper and Reducer, and illustrate the complete workflow including input splitting, mapping, shuffling, sorting, and reducing with a suitable example.
3. Explain the architecture of HDFS in detail, describing the roles and responsibilities of NameNode, DataNode, and Secondary NameNode, and discuss how metadata is managed in a distributed environment.
4. Explain the architecture of YARN in detail, describing its components, and discuss how YARN manages resources and scheduling in a Hadoop cluster.
5. Discuss the advantages and limitations of Hive, Pig, and HBase in big data processing, comparing their performance, usability, and application scenarios.

Section C

Q3

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain the architecture of Big Data systems in detail, describing various components, and discuss how these components interact with each other.
2. Discuss data privacy, security, compliance, and ethics in Big Data. Highlight major challenges and solutions.

Q4

Attempt any one part of the following · 7 × 1 = 7 marks

1. What is Hadoop Ecosystem? Explain various components of Hadoop Ecosystem.
2. Explain the concept of data locality in Hadoop and discuss how it improves performance by minimizing network congestion and enhancing processing efficiency.

Q5

Attempt any one part of the following · 7 × 1 = 7 marks

1. Discuss the replication mechanism in HDFS. How the system ensures fault tolerance and data reliability in case of node failures?
2. Explain a scenario of node failure in HDFS during data write operations. Describe how the system recovers from failures while ensuring no data loss and maintaining consistency.

Q6

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain NoSQL databases in detail and compare them with relational databases. Also, describe the basics of MongoDB including data types, document creation, querying, and indexing.
2. Explain basic concepts of Scala programming, including classes, objects, and functional programming features, and discuss its importance in Spark development.

Q7

Attempt any one part of the following · 7 × 1 = 7 marks

1. Compare HBase with traditional relational databases, focusing on data model, consistency, scalability, and performance. Explain when HBase is preferred over RDBMS.
2. Discuss the role of Zookeeper in the Hadoop ecosystem, explaining how it helps in coordination, synchronization, and maintaining configuration information in distributed systems

Short on time? See the most repeated AKTU Big Data questions across all years.

Other years

More AKTU Big Data Analytics papers on LearnAIFast.

This paper is reproduced for study purposes only. Copyright belongs to AKTU. Source: the question paper bank of ABES Institute of Technology, an AKTU-affiliated college. If you own the copyright and want it removed, email learnwithskillnest@gmail.com and we will take it down.