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Binary Searchmedium45 minFull Stack Developer

Audit Minimum Feasible Throughput

Full Stack Developer signal: binary search on answer + monotonic predicate in a audit trail explorer context. This is a ProdMatch-owned full stack engineer drill, framed as a March 2026 Yellow.ai Trust Platform simulation, not a copied platform question.

Company context

Yellow.ai · Trust Platform

Freshness

March 2026

Product surface

audit trail explorer

ProdMatch interview simulation based on product-team patterns; not a claim of a real company question.

Question

For audit trail explorer, choose the minimum processing rate so all logs finish before deadline. Each worker can process rate units per minute, rounded up per item.

Input

  • Work item sizes and deadline minutes.

Output

  • Minimum integer rate.

Constraints

  • 1 <= items.length <= 200000
  • 1 <= item size <= 1e9
  • Deadline is at least items.length.

Concepts

  • workflow graphs
  • API pagination
  • cache invalidation
  • binary search on answer
  • monotonic predicate

sizes [3,6,7,11], deadline=8 -> 4

Approach

Try framing your own approach first. The 30 seconds you think before peeking is where learning happens.

Clean Solution

Reveal the approach first.

How well did you understand?

Your rating tunes when this problem shows up again.

Common Mistakes

  • Use low + (high - low) // 2 to avoid overflow.
  • The predicate must be monotonic or binary search is invalid.

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