Easy Hashing Question 18 of 224

How do you find the intersection of two arrays using a set?

DSA interview set · Speak this in 60–90 seconds · Faridabad & Delhi NCR

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Simple meaning

Put the smaller array into a hash set, then walk the other and collect values that exist in the set, optionally using a second set for uniqueness.

1

WHY — Hashing instead of guessing?

Why interviewers care about Hashing:

This is a process

question about Hashing.

Panels listen for order,

trade-offs, and what you would actually do on a DSA project - not buzzwords.

Stay structured

Name the idea, why it exists, then one short example.

Close cleanly

End with when you use it and one common pitfall.

2

STEPS — What happens step by step?

Before you speak the answer, walk the interviewer through these steps:

  1. 1
    Put the smaller array

    into a hash set, then walk the other and collect values that exist in the set, optionally using a second set for uniqueness.

  2. 2
    Average time is O(n+m)

    and space is O(min(n,m)).

  3. 3
    Sorting and two-pointer merge

    is the no-hash alternative.

  4. 4
    Give an example

    One tiny concrete case you can say aloud.

  5. 5
    Common mistake

    What juniors usually get wrong.

  6. 6
    Close

    When you pick this over the alternative.

3

EXAMPLE — See it in action

Here's a short line you can speak, broken into clear beats:

Say this line
“Average time is O(n+m) and space is O(min(n,m)).”
Break into beats
AveragetimeisOnm
Speaking order
2987408337471632900

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Key takeaway

Put the smaller array into a hash set, then walk the other and collect values that exist in the set, optionally using a second set for uniqueness. Average time is O(n+m) and space is O(min(n,m)).

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