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DRIVE-
Fall 2014
PROGRAM/SEMESTER-
MBADS – (SEM 3/SEM 5) / MBAN2 / MBAFLEX – (SEM 3) / PGDISMN – (SEM 1)
SUBJECT
CODE & NAME- MI0034- DATABASE MANAGEMENT SYSTEMS
Q1.
Suppose the employee name, employee id, designation, salary, attendance and
address of any employee has to be stored in a database. You can store these
data in a sequential address book or it can be stored on a hard disk, using a
computer and software like Microsoft Excel. Using this example define a
database. List and explain the various
procedures carried on in a DBMS with a detailed example of the database.
(Defining
a database- 1 mark, listing the 3 procedures – 3 marks, explanation- 3 marks,
one examples for each of them - 3 marks)
Answer.
DBMS
|
A DBMS is a complex set of software
programs that controls the organization, storage and retrieval of data in a
database.
|
Procedures
Q2. Level 2 cache has got higher latency than Level 1 by 2 times to 10 times in 512 KiB or more. Its value is nearer to kilobyte. This is one of the levels of memory hierarchy. Define memory hierarchy. What are the other levels in memory hierarchy? Explain in one life each for each of them. (defining memory hierarchy- 1 mark, listing the 6 levels -3 marks, explanation- 6 marks) 10 marks
Answer.
Memory
hierarchy:
It is used in the theory of computation when discussing performance issues in
computer architectural design, algorithm predictions, and the lower level programming constructs such as involving locality of reference. A 'memory hierarchy' in computer storage distinguishes each level in the
'hierarchy' by response time. Since response time, comp
Q3.
|
EMPLOYEE
EMP_ID NAME PROJECT SALARY DEPT_NUM
MUL1 Raashi PR2 30000 1
MUL2 Taashi PR1 43000 2
SMU1 Raksha PR3 25000 3
SMU2 Vidhesh PR2 50000 2
SMU3 Akhilesh PR1 83000 2
|
|
DEPARTMENT
DEPT_ID DNAME PLACE
1 HRM Bangalore
2 MIS Bangalore
3
Research
Chennai
4
Finance Bangalore
Using these tables
answer the following question
a. If we want to see
all the employees with salary between 40000 and 50000, which query can be
used?
b. Select employee name
from EMPLOYEE table, whose name starts with R
c. Explain aggregate
functions and grouping in detail
a. Query based in BETWEEN OPERATOR
b. Query based in LIKE condition
|
|
c. Explaining
aggregate functions on select statement, with an example, showing the output
of the query, explaining having clause, with example
Solution.
|
We'll briefly describe most of the query types, although in this course we'll focus on the most commonly used query type, the s
Q4.
Consider a book is written by a particular author. And you have to explain to
some one the relationship that exists between the author and the book. Normally
you can draw a diagram and show the relation. These diagrams are called
entity-relationship diagram in which book is one entity, author is one entity,
and the relationship that exists between the two entities is written. Likewise
explain the various notations used to represent the ER diagram. (Listing the
notations with diagrams – 5 marks, explaining each one of them in one line with
example each-5 marks )
Answer:
The symbols used to design an ER diagram are shown.
Q5.
Consider any database of your choice (may be simple banking
database/forecasting database/project management database). Show the deduction
of the tables in your database to the different types of normal forms
(Choosing
a proper database-2 marks, Explaining the 5 normal forms with respect to the
database chosen-8 marks) 10 marks
Answer.
Normal forms Based on Primary
Keys
A relation schema R is in first
normal form if every attribute of R takes only single atomic values. We can
also define it as intersection of each row and column containing one and only
one value. To transform the un-normalized table (a table that contains one or
mo
Q6.
Read the following case study thoroughly and answer the following questions:
Laxmi
bank is one of the largest private sector banks of India. It has an extensive
network of more than 200 branches. It offers banking services to retail as well
as corporate clients. The bank faced a challenge in integrating multi-pronged
database management system into a centralized system. The IT department of the
bank also realized that the computing capabilities of its PCs and servers were
not proportionately distributed among all its branches. Each branch had its
database management system stored in a traditional way on the disk. The total
cost of operating and maintaining the current IT infrastructure was very high
and the fundamental shortcomings added to the costs. Moreover, there were also
recurrent problems due to the malfunctioning of the currently operational
database management system. Therefore, the bank’s top management decided to fix
the problem and operationalise a robust database management system. The bank hired
an external database technology consulting firm called AKPY Info systems
Limited.
AKPY
divided the entire IT infrastructure of the bank around two verticals. The
retail banking vertical and the corporate banking vertical. All the individual
database servers from the individual branches were removed. The entire database
system was made virtual such that the managers and the staff can access only
the required information (related to retail banking or corporate banking) from
the respective centralized data centers. There were only two such centralized
data centers (one for retail banking and another for corporate banking) that
were managed centrally. Staff and managers could access the information through
their PCs and laptops. Centralized database management system complemented the
security system by bringing in
authentication through a unified ID management server. Managers and officers of
the bank were able to process half a million transactions per month in real
time after the new implementation. There were significant savings in the cost
and also in the consumption of power. Now there were no problems with regard to
imbalances in the load across various network servers. Due to centralized data
management, top management could keep an eye on the functioning of various
branches. Hence the cases of fraud and cheating reduced considerably. The bank
managers could also process the loan applications in reduced time since the
customer’s previous records could be accessed at the click of the button and
approval from the higher authorities could be obtained in real time. Moreover
the new system also brought in many applications that helped local managers in
the decision making process.
a.
List the uses of centralized data management
b.
What steps Laxmi bank need to take if it were to change its centralised
database system to a distributed database system in future?
(a.
Listing the uses from the from the case study-2 marks, b. Explaining about data
fragmentation, replication and allocation techniques-6 marks, c. Is it possible
to replicate the centralised database management model of the bank-2 marks) 10
marks
Answer.
a)
Uses of centralized data
management
A centralized database is a database located and maintained in one
location, unlike a distributed database. One main advantage is that all data is
located in one place. A centralized data management system can be use as:
1.
The
Two such centralized data centers (one for retail banking and another for
corporate banking) that were managed centrally. Staff and managers could access
the information through their PCs and laptops.
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