DECISION SUPPORT SYSTEMS JNTU UNIVERSITY PREVIOUS YEAR QUESTION PAPER COLLECTION final year second semester CSE and IT students

DECISION SUPPORT SYSTEMS JNTU UNIVERSITY PREVIOUS YEAR QUESTION PAPER COLLECTION final year second semester CSE and IT students

DECISION SUPPORT SYSTEMS JNTU UNIVERSITY PREVIOUS YEAR QUESTION PAPER COLLECTION final year second semester CSE and IT students

IV B.Tech II Semester Regular Examinations, Apr/May 2007

DECISION SUPPORT SYSTEMS

( Common to Computer Science & Engineering and Information

Technology)

Time: 3 hours Max Marks: 80

Answer any FIVE Questions

All Questions carry equal marks

⋆ ⋆ ⋆ ⋆ ⋆

1. Explain the following. [16]
(a) Kepner- Tregoe decision-making method
(b) Human decision-making process
2. Short notes on [16]
(a) Information Quality
(b) Institutional Versus Adhoc DSS
3. (a) Explain the DSS software categories based on application and firm size.
(b) Explain why client / server computing is popular? [8+8]
4. What are the major segments used in corporate model and explain each segment .
[16]
5. (a) What does workflow system do? What are its key characteristics?
(b) What are the three electronic meeting styles and explain each? [8+8]
6. Consider a simple expert system that can follow three rules:
(a) Rule 1) If order can be satisfied within a normal work schedule, then the
factory should operate 40 Hours next week.
(b) Rule 2) If order cannot satisfied within a normal work schedule and overtime
has not been scheduled, then schedule overtime work.
(c) Rule 3) If order cannot satisfied within a normal work schedule and overtime
has been scheduled, then notify customers that order will be delayed. Develop
VP-Expert form of simple knowledge base. [16]
7. (a) Describe four kinds of data that data warehouse use.
(b) List the stages involved in getting a data into data warehouse and explain
each stage. [8+8]
8. (a) List and describe briefly the eight stages of any information system project.
(b) What are the four types of data that the data warehouse architecture must
specify?
[8+8]
⋆ ⋆ ⋆ ⋆ ⋆

IV B.Tech II Semester Regular Examinations, Apr/May 2007

DECISION SUPPORT SYSTEMS

( Common to Computer Science & Engineering and Information

Technology)

Time: 3 hours Max Marks: 80

Answer any FIVE Questions

All Questions carry equal marks

⋆ ⋆ ⋆ ⋆ ⋆

1. (a) What is a decision? Give three examples.
(b) Classify the types of decisions based on the degree of the structure and orga-
nizational impact. [8+8]
2. (a) Define a system? What are the key characteristics of a system?
(b) How information system defer from a system in general? [8+8]
3. Explain the following terms [16]
(a) Fat clients
(b) Thin clients
(c) Network computers
(d) An Intranet
4. Draw the cobweb model of a market economy with P0 = 5.0, A = 10, B = 0.9, C
= -2.4, D = 1.2, by considering demand (D) = A ? B X P (Price) and Supply (S)
= C + D X P
−1. [16]
5. (a) Explain the characteristics and components of GDSS.
(b) Explain the value analysis and cost benefit analysis relating to GDSS. [8+8]
6. Consider a simple expert system that can follow three rules:
(a) Rule 1) If order can be satisfied within a normal work schedule, then the
factory should operate 40 Hours next week.
(b) Rule 2) If order cannot satisfied within a normal work schedule and overtime
has not been scheduled, then schedule overtime work.
(c) Rule 3) If order cannot satisfied within a normal work schedule and overtime
has been scheduled, then notify customers that order will be delayed. Develop
VP-Expert form of simple knowledge base. [16]


7. (a) Explain how a relational database can be organized for a data warehouse.
(b) Explain the concept of a multi dimensional database and why they are well
suited to data warehouse. [8+8]
8. Explain the need of DSS at present and future of DSS. [16]
⋆ ⋆ ⋆ ⋆ ⋆

IV B.Tech II Semester Regular Examinations, Apr/May 2007

DECISION SUPPORT SYSTEMS

( Common to Computer Science & Engineering and Information

Technology)

Time: 3 hours Max Marks: 80

Answer any FIVE Questions

All Questions carry equal marks

⋆ ⋆ ⋆ ⋆ ⋆

1. What do the intelligence, design and choice phase consists of for the following
decisions? [16]
(a) buying a car
(b) faculty recruitment
2. (a) What are the fundamental operations involved in turning data into informa-
tion?
(b) Give an example for the difference between the data and information. [8+8]
3. (a) Give eight factors that a DSS architecture must take into account.
(b) Draw the block diagrams for conceptual DSS and specific DSS architectures.
[8+8]
4. What are the major segments used in corporate model and explain each segment .
[16]
5. Write a General Purpose Systems Simulation (GPSS) program for a manufacturing
shop. [16]
6. Define data warehouse and state three characteristics of data warehouse.
[16]
7. (a) Explain how a relational database can be organized for a data warehouse.
(b) Explain the concept of a multi dimensional database and why they are well
suited to data warehouse. [8+8]
8. (a) List and describe briefly the eight stages of any information system project.
(b) What are the four types of data that the data warehouse architecture must
specify?
[8+8]
⋆ ⋆ ⋆ ⋆ ⋆

IV B.Tech II Semester Regular Examinations, Apr/May 2007

DECISION SUPPORT SYSTEMS

( Common to Computer Science & Engineering and Information

Technology)

Time: 3 hours Max Marks: 80

Answer any FIVE Questions

All Questions carry equal marks

⋆ ⋆ ⋆ ⋆ ⋆

1. Explain the following. [16]
(a) Kepner- Tregoe decision-making method
(b) Human decision-making process
2. (a) Define a system? What are the key characteristics of a system?
(b) How information system defer from a system in general? [8+8]
3. (a) What are the major DSS hardware environments?
(b) Describe the types of hardware environments used for DSS. [8+8]
4. What are the major segments used in corporate model and explain each segment .
[16]
5. Explain the following terms relating to the Queuing discipline. [16]
(a) FIFO
(b) LIFO
(c) Random
(d) Polling
(e) Priority
(f) Interrupt
(g) Reneging
(h) Balking
6. (a) What are the query tools of data warehouse and explain in detail.
(b) Explain the pros and cons of expert system. [8+8]
7. Considering an example of MBA admissions of Business School based on GPA and
GMAT, explain the following: [8+4+4]
(a) Classification and Regression Tree (CART)
(b) Neural Network.
(c) Nearest Neighborhood
8. (a) List the various stages of data warehousing project.
1 of 2
Code No: RR420506 Set No. 4
(b) Justify a data warehouse interms of both tangible and intangible benefits. [16]
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