Download JNTU-Hyderabad MBA 3rd Sem R15 2018 July 723AR Decision Support Systems Question Paper

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

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Code No: 723AR
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
MBA III Semester Examinations, June/July-2018
DECISION SUPPORT 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) Define the three elements of decision. [5]
b) Explain the basic structure of DSS and its components. [5]
c) List different software life cycle models and explain any one of them. [5]
d) Explain the importance of group decision support system. [5]
e) Describe four kinds of data that data warehouse use. [5]

PART - B 5 ? 10 Marks = 50

2. Explain why the models are in DSS and state the DSS hierarchy. [10]
OR
3. Define the system. What are the key characteristics of a system? [10]

4. What are the seven basic DSS categories? Explain each of them. [10]
OR
5. What is the difference between an institutional and an adhoc DSS? Why does this
difference matter? [10]

6. What are the two basic approaches to prototyping, which is usually better suited
to development DSS? [10]
OR
7. Explain different software tools in DSS. [10]

8. Draw the block diagram of an expert system and explain each block function.
[10]
OR
9. What are the different types of DSS that are for group decision making?
Briefly write about on group wave products. [10]

10. List the five steps that must be performed in taking data from an operation
database source to a data ware house database. Explain the steps. [10]
OR
11. What is data warehousing? Explain its concepts and compare and contrast two
basic ways to analyze the data warehouse data. [10]

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R15
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