Download JNTU-Hyderabad MBA 3rd Sem R15 2019 May 723AQ Database Management Systems Question Paper

Download JNTUH (Jawaharlal Nehru Technological University Hyderabad) MBA (Master of Business Administration) 3rd Semester (Third Semester) R15 2019 May 723AQ Database Management Systems Previous Question Paper

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Code No: 723AQ
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MBA III Semester Examinations, April/May-2019
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 type of data to be maintained by an organization? [5]
b) What is the need for database planning? [5]
c) What are the various failures during project development? [5]
d) List the reasons for large financial returns in data warehousing implementations. [5]
e) Explain the concept of neural networks. [5]

PART - B 5 ? 10 Marks = 50

2. What are components of organizational memory? Explain. [10]
OR
3. How is data handled in file oriented systems? Discuss the drawbacks in this system.
[10]

4. Describe the database development life cycle with necessary diagrams. [10]
OR
5. Explain how to share data between different locations. [10]

6. What are the overhead costs incurred in maintaining a database system for an
organization? Explain. [10]
OR
7. What is logical representation of data? How is it different from physical representation?
Why are they separated in a database system? [10]

8. ?Data warehouse is not a product it is an architecture?. Substantiate this statement. [10]
OR
9. What is meant by Meta data? Why is it significant in data warehouse? How is it
generated and managed in the data warehouse? Explain with examples. [10]

10.a) Explain about OLAP architecture.
b) Discuss about nearest neighbour approaches. [5+5]
OR
11. Describe the various stages in the construction process of a data warehouse with
relevant example. [10]
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