Test
Data representation
Este test tiene tipos de pregunta que se abren en el reproductor de siempre.
Preguntas del test (25)
1Binary is used for computers because they only u[blank_start]nderstand[blank_end] b[blank_start]inary[blank_end]
- Anderstand
- Binary
2There are [blank_start]8[blank_end] bits in a byte
- A8
3Smallest to biggest: [blank_start]bit[blank_end], [blank_start]nibble[blank_end], [blank_start]byte[blank_end], [blank_start]kilobyte[blank_end], [blank_start]megabyte[blank_end], [blank_start]gigabyte[blank_end], [blank_start]terabyte[blank_end], [blank_start]petabyte[blank_end]
- Abit
- Bbyte
- Cnibble
- Dkilobyte
- Emegabyte
- Fgigabyte
- Gterabyte
- Hpetabyte
4There are [blank_start]2,000,000[blank_end] megabytes in 2000 gigabytes
- A2,000,000
517 in denary in binary is [blank_start]10001[blank_end]
- A10001
610011111 in binary is [blank_start]9F[blank_end] in hexadecimal
- A9F
74A in hexadecimal is [blank_start]74[blank_end] in denary
- A74
8The most significant part of 10110 is the [blank_start]16[blank_end].
- A1
90101 1101 added with 0011 0010 is [blank_start]10001111[blank_end]
- A10001111
10An overflow error is when [blank_start]data[blank_end] requires more [blank_start]bits[blank_end] than the computer expects
- Abits
- Bdata
11One left shift [blank_start]multiplies[blank_end] the number by [blank_start]2[blank_end] and one right shift [blank_start]divides[blank_end] by [blank_start]2[blank_end]
- Adivides
- Bmultiplies
- C2
- D2
123 reasons hexadecimal is better than binary:
1. Easier to r[blank_start]emember[blank_end] large numbers
2. L[blank_start]ess[blank_end] likely to make an input e[blank_start]rror[blank_end]
3. Easier to c[blank_start]onvert[blank_end] between hex and [blank_start]binary[blank_end]- Aemember
- Brror
- Cess
- Donvert
- Ebinary
13Pixels are tiny d[blank_start]ots[blank_end] that make up an i[blank_start]mage[blank_end]
- Aots
- Bmage
14A b[blank_start]itmap[blank_end] image is made up of loads of p[blank_start]ixels[blank_end]
- Aixels
- Bitmap
15The colour d[blank_start]epth[blank_end] is the number of b[blank_start]its[blank_end] for each of the p[blank_start]ixels[blank_end]
- Aixels
- Bits
- Cepth
16The image r[blank_start]esolution[blank_end] is the number of p[blank_start]ixels[blank_end]
- Aixels
- Besolution
17Increasing the resolution or colour depth would get a h[blank_start]igher[blank_end] q[blank_start]uality[blank_end] image but a bigger f[blank_start]ile[blank_end] s[blank_start]ize[blank_end]
- Auality
- Bigher
- Cile
- Dize
18Metadata is stored on the i[blank_start]mage[blank_end] file that tell the c[blank_start]omputer[blank_end] how to r[blank_start]ecreate[blank_end] the image
- Amage
- Becreate
- Computer
19How audio sampling works:
1. Sample the a[blank_start]mplitude[blank_end] of the sound at r[blank_start]egular[blank_end] intervals
2. The data is put on a g[blank_start]raph[blank_end] which creates a s[blank_start]imilar[blank_end] image to the sound
3. It is not i[blank_start]dentical[blank_end] as there is a loss in d[blank_start]ata[blank_end]- Amplitude
- Begular
- Craph
- Dimilar
- Edentical
- Fata
20The sample rate is how many s[blank_start]amples[blank_end] are taken in a s[blank_start]econd[blank_end].
- Aamples
- Becond
21The bit depth is the number of b[blank_start]its[blank_end] available for each s[blank_start]ample[blank_end]
- Aits
- Bample
223 reasons why to compress a file:
1. Less s[blank_start]torage[blank_end] space
2. Take up less b[blank_start]andwidth[blank_end]
3. Web pages can l[blank_start]oad[blank_end] faster- Atorage
- Bandwidth
- Coad
23Lossy compression p[blank_start]ermanently[blank_end] removes the d[blank_start]ata[blank_end] from a file,
lossless t[blank_start]emporarily[blank_end] removes it- Aemporarily
- Bermanently
- Cata
243 reasons to use lossy compression:
1. Less b[blank_start]andwidth[blank_end]
2. Reduced f[blank_start]ile[blank_end] s[blank_start]ize[blank_end]
3. Co[blank_start]mmonly[blank_end] used- Aandwidth
- Bile
- Cize
- Dmmonly
253 reasons to uses lossless compression:
1. No r[blank_start]eduction[blank_end] in qu[blank_start]ality[blank_end]
2. Can be de[blank_start]compressed[blank_end]
3. Be used on t[blank_start]exts[blank_end]- Aeduction
- Bality
- Ccompressed
- Dexts
Información
- Descripción
- GCSE Computing Test sobre Data representation, creado por Ben Rawlins el 05/02/2022.
- Autor
- Ben Rawlins
- Idioma
- English
- Visitas
- 0
- Etiquetas
- Valoración
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