AKTU MCA Data Analytics (KCA034) 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. Explain various applications of data analytics.
2. Differentiate between Analysis and Reporting
3. Define Bayesian inference.
4. Explain the stochastic search method.
5. How is stream processing different from traditional data processing?
6. Describe data streaming
7. Explain the significance of support and confidence in the context of frequent itemsets.
8. Explain the method of mining frequent itemsets.
9. Explain R tool's graphical user interface
10. List two Data Visualization Tool

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. Explain all phases of the data analytics lifecycle.
2. Describe the concept of extracting fuzzy models from data.
3. Discuss the stock market prediction case study.
4. Differentiate between CLIQUE and ProCLUS clustering.
5. Describe Hadoop and its architecture.

Section C

Q3

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

1. How the data analytics is important for various industries? Explain with an example.
2. Discuss Bigdata, its characteristics and sources of data.

Q4

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

1. Explain the concept of Principal Component Analysis (PCA).
2. Explain how support vector machines (SVMs) utilize kernel functions to handle non-linearly separable data.

Q5

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

1. Illustrate the Real time analytics platform. Explain it with “Real time sentiment analysis” case study.
2. Illustrate the benefits and limitations of Filtering stream technique.

Q6

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

1. Explain hierarchical clustering with a suitable example.
2. Describe market-based modelling with a suitable example.

Q7

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

1. Explain MapReduce, Hive, Pig and HBase in Data Analytics.
2. Compare and contrast NoSQL databases with traditional SQL databases. List four main types of NoSQL databases.

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