Download JNTUA MBA 2019 June 3rd Sem 17E00319 Data Warehousing And Mining Question Paper

Download JNTUA (JNTU Anantapur) MBA (Master of Business Administration) 2019 June Supplementary 3rd Sem 17E00319 Data Warehousing And Mining Previous Question Paper

Code: 17E00319

MBA III Semester Supplementary Examinations May 2019
DATA WAREHOUSING & MINING
(For students admitted in 2017 only)

Time: 3 hours Max. Marks: 60

All questions carry equal marks
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SECTION ? A
(Answer the following: (05 X 10 = 50 Marks)

1 (a) A data warehouse is a key technology in a decision support system. Justify this statement.
(b) Discuss briefly the various applications of data warehouse.
OR
2 (a) The organizational memory is an important prerequisite for organizational learning. Explain
with suitable example.
(b) Give reasons why data management is important to any organization.

3 Explain the roles and responsibilities of various users (including administrators) of a database
system.
OR
4 Explain how data is shared between different levels within and across organizations.

5 Give an outline of the various multi-dimensional data structures.
OR
6 (a) Explain briefly the different types of meta data.
(b) Give an overview of importance of meta data.

7 Explain the steps involved in building a data warehouse.
OR
8 Explain the data warehouse designing methodologies.

9 Consider the dataset given below and construct decision tree using information gain.
Index A B C D E
1 4.8 3.3 1.8 0.3 Positive
2 5 3 1.5 1.3 Positive
3 5 3.3 1.5 0.3 Positive
4 5.2 3.5 1.4 0.3 Positive
5 5.2 3.3 1.3 0.3 Positive
6 4.7 3.2 1.5 0.3 Positive
7 4.8 3.1 1.5 0.3 Negative
8 5.4 3.4 1.4 0.5 Negative
9 6.4 3.2 4.6 1.5 Negative
10 6.9 3.2 4.6 1.6 Negative
11 5.3 2.8 4.8 1.3 Negative
12 4.6 2.3 4.1 1.6 Negative

OR
10 Give a short overview of Feedforward neural network, multilayer perceptron and
backpropagation method.

SECTION ? B
(Compulsory question, 01 X 10 = 10 Marks)
11 Case Study:
Design a data warehouse for retail store and explain its components and suggested data
marts.

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