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Past Paper/sylubus Cs > 1. Data Representation > Flashcards

1. Data Representation Flashcards

1
Q

How many Bits to 1 byte

A

8

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2
Q

How many kibibytes (KiB) to 1 mebibyte (MiB)

A

1024

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3
Q

How many (MiB) in 1 (GiB)

A

How many (MiB) in 1 (GiB)

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4
Q

How many (GiB) in 1 (TiB)

A

1024

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5
Q

How many (TiB) in 1 (PiB)

A

1024

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6
Q

How many (PiB) in 1 (EiB)

A

1024

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7
Q

How many Bytes in 1 (KiB)

A

1024

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8
Q

Bits in a Nibble

A

4

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9
Q

Binary number system

A

•it has a base of 2
• it only uses two values
• … that are 1 and 0

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10
Q

Definition Image resolution

A

The dimensions of an image

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11
Q

Definition Image colour depth

A

The number of bits used to represent a colour

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12
Q

Benefits of increasing colour depth

A
  • a greater range of colours can be seen
  • image will be closer to the actual content of the real life image
  • the image will have more detail
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13
Q

Lossy compression

A

A type of image compression that permanently reduces the colour depth and resolution of the image

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14
Q

Purpose and Benefits of image compression

A

Purpose: compression exists to reduce the size of the file

  • reduce storage space it uses
  • quicker to transmit or download ( image)
  • not as much bandwidth needed to transmit file
  • fitting in limitation of file size on eg. Email
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15
Q

How and why computers use binary to represent all forms of data

A

Why: All data needs to be converted to binary to be processed by a computer
How: Logic gates are used to process binary and registers stores it.

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16
Q

Why overflow occurs

A

•The result of the calculation is greater than 255 // The value generated is larger than can be stored in the register
•The result of the calculation would require more than 8 bits to be represented // A register has a predetermined number of bits and there are too many bits for it

17
Q

Definition sample rate

A

the number of samples taken in a second/per time unit

18
Q

Definition of sample resolution

A

is the number of bits per sample

Past Paper/sylubus Cs (7 decks)

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