Download JNTU-Hyderabad MBA 3rd Sem R15 2018 July 723AQ Database Management Systems Question Paper

Download JNTUH (Jawaharlal Nehru Technological University Hyderabad) MBA (Master of Business Administration) 3rd Semester (Third Semester) R15 2018 July 723AQ Database Management Systems Previous Question Paper

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Code No: 723AQ
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MBA III Semester Examinations, June/July-2018
DATABASE MANAGEMENT SYSTEMS
Time: 3hours Max.Marks:75

Note: This question paper contains two parts A and B.
Part A is compulsory which carries 25 marks. Answer all questions in Part A.
Part B consists of 5 Units. Answer any one full question from each unit. Each
question carries 10 marks and may have a, b, c as sub questions.

PART - A 5 ? 5 Marks = 25

1.a) What is DBMS? Explain limitations of traditional systems. [5]
b) Explain about sharing data between different levels of users. [5]
c) Describe three-level database architecture. [5]
d) What is a data warehouse? Explain in detail. [5]
e) Explain the concept of neural networks. [5]

PART - B 5 ?10 Marks = 50

2. Describe the information system cycle and discuss various types of information
systems. [10]
OR
3. Explain in detail about database system components. [10]

4. Discuss in detail about the role of database systems in the organizations. [10]
OR
5. Why is data shared between different functional units? Explain with lucid
examples. What is the role of database in this situation? [10]

6. What are organizational conflicts? Explain. [10]
OR
7. Discuss about separating physical and logical data representation. [10]

8. Explain the following:
a) Database structures b) Human meta data [10]
OR
9. Explain the following:
a) Context of data warehouse database
b) Computer-based Meta Data for the computer to use [10]

10. What is data mining? Why is it associated with data warehouse? How the results
of decision trees are in an organization? [10]
OR
11.a) What are general OLAP product characteristics? Explain.
b) Explain about overcoming resistance to the data warehouse. [10]

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This post was last modified on 23 October 2020