SDLC - Analysis Part 3
Quiz
•
Computers
•
University
•
Practice Problem
•
Hard
ENNA NAWI
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of E-R diagramming?
To analyze financial data
To design user interfaces
To create simple diagrams for presentations
To capture the richest possible understanding of the meaning of the data necessary for an information system or organization
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a candidate key in conceptual data modeling?
A key used to unlock the database
An attribute (or combination of attributes) that uniquely identifies each instance of an entity type
A key that is randomly generated
An attribute that is not important
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of domains in data modeling?
To generate reports
To design user interfaces
To create relationships between entities
To verify that the values for an attribute are valid
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a triggering operation in conceptual data modeling?
A key used to trigger events in the system
A type of relationship between entities
An assertion or rule that governs the validity of data manipulation operations such as insert, update, and delete
A type of entity in the database
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of prepackaged database models in data modeling?
To create complex data structures
To restrict access to the database
To analyze financial data
To provide generic models that can be customized for a particular organization’s business rules
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a unary relationship in data modeling?
A relationship between one entity type; also called a recursive relationship
A relationship between two entity types
A relationship between entities and attributes
A relationship between three entity types
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the four basic types of business rules in a conceptual data model?
Primary keys, foreign keys, indexes, constraints
Entity integrity, referential integrity constraints, domains, triggering operations
Data types, relationships, entities, attributes
Data manipulation, data storage, data retrieval, data security
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