AKTU MCA Big Data (KCA022) Question Paper 2024-25

Note: Attempt all Sections. In case of any missing data, choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. Define Big Data.
2. Write any 4 technologies used for the implementation of Big Data.
3. Differentiate between NoSQL and relational Database.
4. Discuss the role of map function in the map-reduce framework.
5. Discuss role of Flume with its advantage.
6. Explain the role of NameNode.
7. Discuss the role of YARN in Hadoop.
8. Discuss the use of Spark.
9. Differentiate between Hive and Hbase.
10. What are the 2 different modes of PIG.

Section B

Q2. Attempt any three of the following · 10 × 3 = 20 marks

1. Emphasize the types of data used to actionable insights in big data.
2. Discuss the history of Hadoop and its impact on Big Data processing.
3. Illustrate the rack awareness algorithm of HDFS used in writing the data.
4. Discuss major differences between Hadoop 1.0 and Hadoop 2.0. Explain with examples.
5. Discuss the role of zookeeper with its architecture.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain the concept of Big Data Analytics with its classification.
2. Discuss the role of Big Data in healthcare, highlighting its applications, benefits, and challenges with relevant examples.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. Describe the MapReduce framework in Big Data processing, explaining its working, key components.
2. Explain the different types of MapReduce jobs in Big Data.

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Illustrate the components of the Hadoop Distributed File System and key features.
2. Explain the process to write the block in Hadoop.

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain the architecture and working of YARN highlighting its advantages.
2. Explain the key features of Scala, its benefits, and its applications in Big Data processing.

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. Describe the key features of Apache Pig, its architecture, and its advantages in simplifying Big Data processing.
2. Explain the architecture of Hive with the help of a neat diagram.

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