Exam Details
Subject | decision support systems | |
Paper | ||
Exam / Course | mba | |
Department | ||
Organization | TKR Institute Of Management & Science | |
Position | ||
Exam Date | June, 2017 | |
City, State | telangana, hyderabad |
Question Paper
FACULTY OF MANAGEMENT
MBA II Semester Examination, May/June 2017
Subject: Decision Support Systems
Course No. 2.7
Time: 3 Hours Max. Marks: 80
PART A (10x2 20 Marks)
[Short Answer Type]
Note: Answer all the questions.
1. Write short notes on the following.
What are the benefits of DSS?
Explain decision making process
Explain Major DSS Hardware Environment
Define DSS Architecture
Define GDSS
Define Data Dictionary
What is Data flow diagram?
Explain the types of Group DSS
Meta Data with suitable example
Define Data warehouse.
PART B (5x12 60 Marks)
[Essay Answer Type]
Note: Answer all the questions using internal choice.
2 Explain briefly how business people make decisions in Decision making process.
OR
Explain the hierarchy of DSS.
3 What are the approaches to develop DSS?
OR
Explain Required Software tools for DSS.
4 What is EIS and also explain the components of EIS.
OR
Explain briefly about distributed group DSS.
5 What are the benefits and examples of ES.
OR
What are the differences between Artificial Intelligence and Natural Intelligence?
6 Explain online transaction processing techniques to mine data.
OR
Explain the techniques and limitations of Data Mining.
MBA II Semester Examination, May/June 2017
Subject: Decision Support Systems
Course No. 2.7
Time: 3 Hours Max. Marks: 80
PART A (10x2 20 Marks)
[Short Answer Type]
Note: Answer all the questions.
1. Write short notes on the following.
What are the benefits of DSS?
Explain decision making process
Explain Major DSS Hardware Environment
Define DSS Architecture
Define GDSS
Define Data Dictionary
What is Data flow diagram?
Explain the types of Group DSS
Meta Data with suitable example
Define Data warehouse.
PART B (5x12 60 Marks)
[Essay Answer Type]
Note: Answer all the questions using internal choice.
2 Explain briefly how business people make decisions in Decision making process.
OR
Explain the hierarchy of DSS.
3 What are the approaches to develop DSS?
OR
Explain Required Software tools for DSS.
4 What is EIS and also explain the components of EIS.
OR
Explain briefly about distributed group DSS.
5 What are the benefits and examples of ES.
OR
What are the differences between Artificial Intelligence and Natural Intelligence?
6 Explain online transaction processing techniques to mine data.
OR
Explain the techniques and limitations of Data Mining.
Other Question Papers
Subjects
- accounting for management
- banking and insurance
- business analytics
- business communication
- business intelligence
- business law and environment
- business process reengineering
- business research methods
- compensation management (hr)
- compensation management (major)
- consumer behaviour (major)
- customer relationship management
- database management systems
- decision support systems
- e-business
- economic environment & policy
- entrepreneurial development
- financial accounting and analysis
- financial management
- financial risk management (f)
- financial risk management (major)
- financial services and systems (minor)
- fundamentals of technology management
- human resource management
- i.t. applications for management
- information technology applications for business
- innovation management
- international business
- international finance (f)
- investment management (major)
- labour laws and employee relations
- leadership and change management
- management and organizational behaviour
- managerial communication
- managerial economics
- marketing engineering
- marketing management
- operations management
- operations research
- organization development (hr)
- organizational development (minor)
- performance management (major)
- product & brand management (m)
- product and brand management (major)
- promotion & distribution management (m)
- promotion and distribution management (minor)
- research for marketing decisions
- retail management
- services and global marketing (minor)
- software project management
- startup management
- statistics for management
- strategic management
- strategic management accounting (minor)
- supply chain management
- talent and knowledge management (minor)
- total quality management