Exam Details
Subject | decision support systems | |
Paper | ||
Exam / Course | mba | |
Department | ||
Organization | TKR Institute Of Management & Science | |
Position | ||
Exam Date | January, 2019 | |
City, State | telangana, hyderabad |
Question Paper
FACULTY OF MANAGEMENT
M.B.A. III Semester (CBCS) Examination, January 2019
Subject: D. Decision Support Systems
Paper MB 304
Discipline Specific Elective I (Systems)
Time: 3 Hours Max.Marks: 80
PART A (5x4 20 Marks)
[Short Answer Type]
Note: Answer all the questions in not more than one page each.
1 Define DSS
2 EIS
3 ES
4 Data warehousing
5 Data Stores
PART B (5x12 60 Marks)
[Essay Answer Type]
Note: Answer all the questions by using internal choice
in not exceeding four pages each.
6 What is Decision making Process? Discuss the framework for DSS support.
OR
Discuss the need and types of DSS.
7 Discuss the software tools for DSS.
OR
Explain the different types of models in DSS.
8 Discuss the Distributed DSS Technology.
OR
What are the components of EIS? Discuss about the EIS work.
9 Define Artificial Intelligence. Discuss the intelligence of AI.
OR
What are the benefits of ES and give examples of ES?
10 Explain the characteristics of Data warehouse and implementing of Data warehouse.
OR
Discuss about the online transaction processing techniques used to mine data.
M.B.A. III Semester (CBCS) Examination, January 2019
Subject: D. Decision Support Systems
Paper MB 304
Discipline Specific Elective I (Systems)
Time: 3 Hours Max.Marks: 80
PART A (5x4 20 Marks)
[Short Answer Type]
Note: Answer all the questions in not more than one page each.
1 Define DSS
2 EIS
3 ES
4 Data warehousing
5 Data Stores
PART B (5x12 60 Marks)
[Essay Answer Type]
Note: Answer all the questions by using internal choice
in not exceeding four pages each.
6 What is Decision making Process? Discuss the framework for DSS support.
OR
Discuss the need and types of DSS.
7 Discuss the software tools for DSS.
OR
Explain the different types of models in DSS.
8 Discuss the Distributed DSS Technology.
OR
What are the components of EIS? Discuss about the EIS work.
9 Define Artificial Intelligence. Discuss the intelligence of AI.
OR
What are the benefits of ES and give examples of ES?
10 Explain the characteristics of Data warehouse and implementing of Data warehouse.
OR
Discuss about the online transaction processing techniques used to mine data.
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