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Understanding Data Models

Authored by john akpegi

Information Technology (IT)

11th Grade

Understanding Data Models
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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a relational data model?

A relational data model is a method for storing data in a single large file.

A relational data model is a way to visualize data using graphs and charts.

A relational data model is a way to structure data using tables that are related to each other.

A relational data model is a programming language for database management.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Name three characteristics of relational data models.

Data is organized in hierarchical structures.

Data is stored in a single file.

Relationships are defined by primary keys only.

1. Data is organized in tables (relations). 2. Relationships are established using foreign keys. 3. Data integrity is maintained through constraints.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an entity in an entity-relationship diagram?

An entity is a type of relationship between two objects.

An entity is a graphical representation of data flow.

An entity is a specific attribute of a real-world object.

An entity is a real-world object or concept in an entity-relationship diagram.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define the term 'attribute' in the context of data models.

An attribute is a synonym for a data model.

An attribute is a method used to manipulate data.

An attribute is a property or characteristic of an entity in a data model.

An attribute is a type of data model.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of a primary key in a relational database?

To group related records together in a table.

To store large amounts of data efficiently.

To define the relationships between different tables.

The purpose of a primary key in a relational database is to uniquely identify each record in a table.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the difference between a one-to-one and a one-to-many relationship.

A one-to-one relationship allows multiple matches for each record, while a one-to-many relationship has a single match.

A one-to-one relationship has a single match for each record, while a one-to-many relationship allows multiple matches for a single record.

A one-to-one relationship can only exist in databases, while a one-to-many relationship can exist in spreadsheets.

A one-to-one relationship is used for grouping data, while a one-to-many relationship is for sorting data.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does normalization mean in database design?

Normalization is the process of combining multiple databases into one.

Normalization refers to the method of encrypting data for security purposes.

Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity.

Normalization is the technique of backing up data to prevent loss.

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