Download GTU (Gujarat Technological University) MBA (Master of Business Administration) 2018 Winter 3rs Sem 3539252 System Analysis And Design Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA ? SEMESTER 3 ? EXAMINATION ? WINTER 2018
Subject Code:3539252 Date:10/12/2018
Subject Name: System analysis and Design
Time: 10:30am To 01:30pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q. No. Marks
Q.1 Explain Following terms
(a) Decomposition
(b) Coupling
(c) Cohesion
(d) Static Binding
(e) Encapsulation
(f) Polymorphism
(g) Enterprise Data Warehouse
14
Q.2 (a) Explain outsourcing. Describe different sources of software. 07
(b) Explain the waterfall model with suitable example. 07
OR
(b) Explain different types of file with suitable example in brief 07
Q.3 (a) Describe System Analysis and the major activities that occur during this
phase of the System Development Life Cycle.
07
(b) Describe Data Flow Diagramming Mechanics with an Example 07
OR
Q.3 (a) Explain any three traditional methods to determine system requirements. 07
(b) Define the points to be considered while assessing the feasibility of the
project. Explain any three.
07
Q.4 (a) Write a note on OOPs Basics 07
(b) Explain Software Testing and Installation process 07
OR
Q.4 (a) Explain Conceptual Data Modeling and the E-R Model 07
(b) Describe the procedure to design a distributed system. 07
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Page 1 of 2
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA ? SEMESTER 3 ? EXAMINATION ? WINTER 2018
Subject Code:3539252 Date:10/12/2018
Subject Name: System analysis and Design
Time: 10:30am To 01:30pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q. No. Marks
Q.1 Explain Following terms
(a) Decomposition
(b) Coupling
(c) Cohesion
(d) Static Binding
(e) Encapsulation
(f) Polymorphism
(g) Enterprise Data Warehouse
14
Q.2 (a) Explain outsourcing. Describe different sources of software. 07
(b) Explain the waterfall model with suitable example. 07
OR
(b) Explain different types of file with suitable example in brief 07
Q.3 (a) Describe System Analysis and the major activities that occur during this
phase of the System Development Life Cycle.
07
(b) Describe Data Flow Diagramming Mechanics with an Example 07
OR
Q.3 (a) Explain any three traditional methods to determine system requirements. 07
(b) Define the points to be considered while assessing the feasibility of the
project. Explain any three.
07
Q.4 (a) Write a note on OOPs Basics 07
(b) Explain Software Testing and Installation process 07
OR
Q.4 (a) Explain Conceptual Data Modeling and the E-R Model 07
(b) Describe the procedure to design a distributed system. 07
Page 2 of 2
Q.5
Case Study
Data warehouse is a massive independent business database system that is
populated with data that has been extracted from a range of sources. The
data is held separately from its origin and is used to help to improve the
decision-making process.
Many traditional Databases are involved in recording day to day
operational activities of the business, called online transaction processing
(OLTP)., commonly implemented in Airline Bookings & Banking
Systems, for fasters response and better control over data.
After establishment of OLTP Systems, reports and summaries can be
drawn for giving inputs to decision-making process and this process is
called online analytical processing (OLAP).
For better customer relationships management strategy, the call centers
and data warehouses must be fully integrated. Data warehouse works as a
strategic tool for decision-support which requires lot of time for
establishment, and needs to be updated with operational information on
daily weekly or monthly basis.
Data warehouse is used for proactive strategies formulation in critical &
complex situations. A number of CRM vendors are advocating for single
integrated customer database which includes call centre, web sites,
branches and direct mail, but it lacks in analytical functioning of data
warehouse. This Database can't be expanded also, and carry decision
support operations on call centre Database becomes slow & the query
processing and inquiries handling operations also become slow &
inefficient for agents dealing with customers.
Data warehouse is must for identifying most profitable & loyal customers
and those customers can be offered better customized services which
increases the chances of additional profits. Although call centre systems &
data warehouses are altogether different systems yet dependant on each
other to fully exploit their potential respectively.
(a) Explain OLTP & OLAP processes with their respective advantages. 07
(b) How the response time in performing OLAP queries can be improved? 07
OR
Q.5 (a) Explain the importance of regular updation of data in a data warehouse. 07
(b)
Explain the role of data warehousing in the functioning of a call centre. 07
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This post was last modified on 19 February 2020