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Chapter 11 Quiz

Chapter 11 Quiz

Assessment

Presentation

Computers

University

Practice Problem

Medium

Created by

Claudia Paganelli

Used 289+ times

FREE Resource

0 Slides • 10 Questions

1

Multiple Choice

Two lists showing different values for the same data in different places of a database is an example of

1


data redundancy

2

data disparity

3

data inconsistency

4


data irregularity

2

Multiple Select

Which are Microsoft Access objects? (Select all apply)

1

forms

2

queries

3

tables

4

reports

3

Multiple Choice

Which type of database organizes data by measure and feature attributes?

1

Multidimensional database

2


Relational database

3


Object-oriented database

4

Multiple Select

Which of the following is a true statement when considering using databases instead of lists? (select all that apply)

1


Data can be easily shared among users.

2

Data integrity can be ensured with a database.

3

Data-entry errors can be minimized with databases.

5

Multiple Choice

The field that has a unique entry for each record in a database table is called the

1

foreign key

2


primary key

3

logical key

4


main key

6

Multiple Choice

A process to ensure that data in a database is organized most efficiently is called

1


centralization

2


normalization

3


data staging

4


integration

7

Multiple Choice

Which of the following is used to create a subset of data that matches certain criteria and that can be saved for future reference or use?

1


Relationship

2


Query

3

Filter

4

Request

8

Multiple Choice

A field labeled PHONE that accepts data such as (610) 555-1212 would use the Number data type.

1

True

2

False

9

Multiple Choice

A primary key is used to uniquely identify records.

1

True

2

False

10

Multiple Choice

Which of the following is not considered metadata?

1

Data type

2


Field name

3


Database name

4

Field size

Two lists showing different values for the same data in different places of a database is an example of

1


data redundancy

2

data disparity

3

data inconsistency

4


data irregularity

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