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DSA · Theory

Bloom Filters

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Theory

576/810

Bloom Filters

Bloom Filters is a DSA topic. In plain words you use it for a short Bloom Filters example in a short dry-run on paper. Don’t start with a slogan — start with that picture.

Smallest example: the smallest Bloom Filters example you can type. Type it, run it, and say what you see. If you can do that from memory, you know Bloom Filters.

From the example next to this theory — Bloom Filters: dry-run [4, 1, 3].

Trap — only saying “Bloom Filters” with no example. Fix that before you talk about advanced DSA.

Viva — what is Bloom Filters? Then show the smallest Bloom Filters example you can type. Then name the trap.

Exam tip

What is Bloom Filters? Show this: the smallest Bloom Filters example you can type. Trap: only saying “Bloom Filters” with no example.

Example

# Bloom Filters
data = [4, 1, 3]
print("start", data)
if data[0] > data[1]:
    data[0], data[1] = data[1], data[0]
print("after one step", data)

Bloom Filters: dry-run [4, 1, 3]. Say the list after one step.

Short notes

  • DefBloom Filters — a short Bloom Filters example in a short dry-run on paper.
  • Rulethe smallest Bloom Filters example you can type
  • Traponly saying “Bloom Filters” with no example
  • Usea short dry-run on paper

Questions

1

What is Bloom Filters?

2

Give one small example of Bloom Filters.

3

What mistake do beginners make with Bloom Filters?

4

Where do you use Bloom Filters?

576 / 810

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