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Databases 1

Total questions: 16

Worksheet time: 8mins

Name
Class
Date
1.
A row in a database.
a)
Record
b)
Field
c)
Entity
d)
Table
2.
A column in a database.
a)
Field
b)
Record
c)
Entity
d)
Validation
3.

Text/String, Integer, Real, Boolean and Date/Time are all examples of...

a)

Data Types

b)

Filters

c)

Sorts

d)

Validations

4.
A data type used for storing numbers with a fractional part e.g. 3.142
a)

Integer

b)

Boolean

c)

Real

d)

String

5.
A unique identifying field.
a)
Primary Key
b)
Integer
c)
Verification
d)
Boolean
6.

A data type that can only hold 2 values e.g. Yes/No.

a)

Boolean

b)

Integer

c)

Real

d)

String

7.

What is a database?

a)

A piece of software to do calculations

b)

A device to load information onto the computer.

c)

A structured collection of records

d)

A calculator

8.

What data type would be used to store the following item code: 0024

a)

Text

b)

Numeric

c)

Calculated

d)

Boolean

9.

Which of the following is an example of a record?

a)

347

b)

ChannelType

c)

351, Nature, Documentary, Bling, False

10.
Which of the following describes a relational database?
a)
Access
b)
A database that has a table
c)
There are two or more tables that are linked using the primary keys
d)
There are more than one table that have duplicate data
11.
How many records are in this database?
a)
8
b)
5
c)
10
d)
12
12.
What is the primary key in this database?
a)
Emp_Id
b)
Last Name
c)
Gender
d)
Title
13.

Choose all the reasons for storing data in a computer database:

a)

data can be easily stored and retrieved

b)

is saves paper and time

c)

data can be quicly sorted

d)

is less safe than storing data in a paper-based database

14.

Select all data types that can be used in a database

a)

date

b)

alphanumeric

c)

float

d)

boolean

15.

What type of field would be best to store the following text: "11-00-67"

a)

Number

b)

Currency

c)

Date

d)

Text

16.

Reasons to code data in databases:

a)

Speeding up data entry

b)

Increase accuracy of data entry

c)

Less storage space required

d)

Coarsening of data

e)

Hide the meaning of the data