Exam Tips - Compression

Part of Compression · Section 10 of 12

Exam TipsUnit: 3.3 Data RepresentationGCSE

This exam tips covers Exam Tips - Compression within Compression for GCSE Computer Science. Revise Compression in 3.3 Data Representation for GCSE Computer Science with 16 exam-style questions and 16 flashcards. This topic appears regularly enough that it should still be part of a steady revision cycle. It is section 10 of 12 in this topic. Treat this as a marking guide for what examiners are looking for, not just a fact list.

Exam Tips - Compression

Most common exam questions:

  • "Difference between lossy and lossless?" → Lossless = perfect reconstruction; Lossy = permanent data loss
  • "When to use lossy?" → Photos, music, video - for human viewing/listening
  • "When to use lossless?" → Text, programs, medical images - need exact copy
  • "Examples of lossy?" → JPEG, MP3, MP4
  • "Examples of lossless?" → PNG, ZIP, FLAC
  • "How does RLE work?" → Replace repeated values with count + value

Key comparison facts:

  • Lossless: 30-70% compression, reversible, exact original
  • Lossy: 80-95% compression, irreversible, "good enough" quality
  • Trade-off: Quality vs file size - can't have both!

RLE exam questions:

  • Always show the pattern: AAAAAABBB → 6A3B
  • Count + Value format
  • Works best when there are LONG runs of repeated data
  • Can make files LARGER if no repetition

Common mistakes to avoid:

  • Saying "lossy is always better" - NO! Depends on use case
  • Confusing lossless with lossy file formats (JPEG is lossy, PNG is lossless)
  • Forgetting that lossy is PERMANENT - you can't "uncompress" to perfect quality
  • Not explaining WHY you'd use one over the other

Practice questions for Compression

Which statement correctly describes lossy compression?

  • A. The original file can be perfectly restored after decompression.
  • B. Data is permanently removed and the original cannot be exactly recreated.
  • C. The compressed file is always the same size as the original.
  • D. No data is removed during the compression process.
1 markfoundation

Explain how run-length encoding (RLE) works to compress data.

3 marksstandard

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