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Dynamic Programming / 1Dmedium45 minFrontend Engineer

Offline Ranking Budget Optimizer

Frontend Engineer signal: dynamic programming + knapsack in a offline draft sync context. This is a ProdMatch-owned frontend engineer drill, framed as a March 2026 Intuit Web Platform simulation, not a copied platform question.

Company context

Intuit · Web Platform

Freshness

March 2026

Product surface

offline draft sync

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

Question

Your Web Platform roadmap has candidate improvements for offline draft sync. Each improvement has cost, lift and risk. Maximize lift under budget while keeping total risk below a threshold.

Input

  • Items [cost, lift, risk], budget and maxRisk.

Output

  • Maximum lift achievable.

Constraints

  • 1 <= items.length <= 500
  • Budget <= 10000
  • maxRisk <= 10000

Concepts

  • render scheduling
  • state graphs
  • virtualization
  • dynamic programming
  • knapsack
  • ranking trade-off

items [[2,5,1],[4,9,4]], budget=4, risk=4 -> 9

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

  • Unclear state definition usually causes off-by-one bugs.
  • Do not overwrite a state before all consumers have used it.

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