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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.
|
Access provides many
different types of queries to meet many different needs for data.
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
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 laptop
Dear
students get fully solved SMU MBA Fall
2014 assignments
Send
your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call
us at : 08263069601
(Prefer
mailing. Call in emergency )
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