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Dynamic Programming / 1Dmedium45 minMobile Engineer

Sync Ranking Budget Optimizer

Mobile Engineer signal: dynamic programming + knapsack in a offline sync context. This is a ProdMatch-owned mobile engineer drill, framed as a April 2026 Pine Labs Mobile Platform simulation, not a copied platform question.

Company context

Pine Labs · Mobile Platform

Freshness

April 2026

Product surface

offline sync

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

Question

Your Mobile Platform roadmap has candidate improvements for offline 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

  • offline sync
  • local cache
  • gesture streams
  • 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.

Next Similar Problems

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