• 1. 
    350MB is how many GB?

  • 0.0035
  • 0.035
  • 0.35
  • 3.5
  • 2. 
    The first line of this image in RLE would be...

  • 8W, 1Bl, 20B, 1W
  • 10B, 4Y, 17R, 2G
  • 2G, 10P, 17Y, 2Bl
  • 3. 
    When is Run Length Encoding used?

  • When we want to compress patterns of data
  • When we want to decompress patterns of data
  • When we want to encode running videos
  • 4. 
    Data compression is important for websites because:

  • Your webpage will load faster
  • Compressed images look better
  • 5. 
    Compression that can compress data files without losing any of the information is called

  • Lossy
  • Lossless
  • 6. 
    Which best describes Lossless Compression?

  • No information is lost but file size is increased
  • There is no loss in information at all after compression
  • Files which have the exact same data after compression
  • Compression that involves an algorithm
  • 7. 
    The purpose of data compression is to decrease file sizes .

  • True
  • False
  • 8. 
    The correct encoding of the letter C in this tree is...

  • 11
  • 10
  • 01
  • 00
  • 9. 
    Data encryption and compression both work on binary code.

  • True
  • False
  • 10. 
    How do you calculate the number of bits of a body of text in ASCII?

  • Number of characters * 7
  • Number of characters (including spaces) *7
  • bits in Huffman * 7
  • bits in Huffman / 7
  • 11. 
    Which formula shows how to work out the percentage a file has been compressed by?

  • bits in (Huffman *7) /100
  • bits in ASCii - bits in Huffman
  • difference in bits / bits in ASCII * 100
  • None of these
  • 12. 
    Huffman trees use the _______________ of each character to work out their encoding.

  • Frequency
  • Order in ASCII
  • Number value
  • None of these
  • 13. 
    Which of these terms is a type of data compression?

  • resolution
  • zipping
  • inputting
  • caching
  • 14. 
    Lossy or lossless? This type of compression does not get rid of any data

  • Lossy
  • Lossless
  • Both
  • All of above
  • 15. 
    How do you move through a Huffman tree?

  • 0 = right 1= left
  • 1 = left 2 = right
  • 0 = left 1 = right
  • 0 = middle 1 = back
  • 16. 
    Lossy or lossless? This type of compression gets rid of some information

  • Lossy
  • Lossless
  • Both
  • None of these
  • 17. 
    What are the main reasons to compress data?

  • To reduce secondary storage space
  • To reduce packet congestion on networks
  • To speed up network transmission times
  • All of above
  • 18. 
    Data compression usually works by..

  • Finding repeating patterns.
  • Deleting random┬ábits data
  • 19. 
    Lossy or lossless? This type of compression makes the file smaller

  • Lossy
  • Lossless
  • Both
  • All of above
  • 20. 
    WHAT TYPE OF FILE IS REPRESENTED HERE?

  • MPEG
  • MP3
  • WAV
  • BMP
  • 21. 
    Data compression means to decrease the file size

  • True
  • False
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