vu eng201 Mid Term Subjective Solved Past Paper No.4

vu eng201 Business and Technical English Writing Solved Past Papers

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Question 3: Explain cartesian product with example.
Answer:

Cartesian product:

The Cartesian product needs not to be union compatible. It means they can be of different degree. It is denoted by X. suppose there is a relation R with attributes (A1,A2,...,An) and S with attributes (B1, B2, …, Bn). The Cartesian product will be:

  1. R X S

The resulting relation will be containing all the attributes of R and all of S. Moreover,all the rows of R will be merged with all the rows of S. So if there are m attributes andC rows in R and n attributes and D rows in S then the relations R x S will contain m +n columns and C * D rows. It is also called as cross product. The Cartesian product isalso commutative and associative. For Example there are two relations COURSE and STUEDNT.

[Cource]

  1. crId, courseTitle

[Student]

  1. stId, stName

[Course x Student]

  1. crId, courseTitle, stId, stName
Question 5: Explain the significance of the data model. Why do we need to know the specific data model of any DBMS?
Answer:
The term database design can be used to describe many different parts of the design of an overall database system.
  1. Hierarchical Model
  2. Network Model
  3. Relational Model
Data in a series of records, which have a set of field values attached to it. It collects all the instances of a specific record together as a record type. These record types are the equivalent of tables in the relational model, and with the individual records being the equivalent of rows. To create links between these record types, Two types of data modeling are as follows:
  1. Logical modeling
  2. Physical modeling

If you are going to be working with databases, then it is important to understand the difference between logical and physical modeling, and how they relate to one another.

Logical Modeling

Logical modeling deals with gathering business requirements and converting those requirements into a model. The logical model revolves around the needs of the business, not the database, although the needs of the business are used to establish the needs of the database. Logical modeling involves gathering information about business processes, business entities (categories of data), and organizational units. After this information is gathered, diagrams and reports are produced including entity relationship diagrams, business process diagrams, and eventually process flow diagrams. The diagrams produced should show the processes and data that exists, as well as the relationships between business processes and data. Logical modeling should accurately render a visual representation of the activities and data relevant to a particular business.

The diagrams and documentation generated during logical modeling is used to determine whether the requirements of the business have been completely gathered. Management, developers, and end users alike review these diagrams and documentation to determine if more work is required before physical modeling commences.

Question 7: For which purpose do we use relational data model?
Answer:
The RDM is mainly used for designing/defining external and conceptual schemas; however to some extent physical schema is also specified in it. (Page 126)
Question 9: Give at least 03 types of Anomalies which Normalization handles
Answer:
Anomaly is defined as wrong or dead state of database.
There are four types of anomalies, which are of concern, redundancy, insertion, deletion and updation.
  1. Redundancy
  2. Insertion Anomaly
  3. Deletion Anomaly
  4. Updation Anomaly
Question 10: How to implement one-to-many relationship while designing tables?
Answer:

If the primary key in a parent table matches multiple foreign keys in a child table, then the relationship is one-to-many. This relationship is common in database applications. For example, an application for a sports league might access a team table and a player table. Each team has multiple players, and each player belongs to a single team. Every row in the child table (player) has a foreign key identifying the player's team. This foreign key matches the team table's primary key.

When designing such entity beans, you must decide whether both tables are represented by entity beans, or just one.


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