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Dynamic Programming / 1Dhard70 minMobile Engineer

Feed Ranking Budget Optimizer

Mobile Engineer signal: dynamic programming + knapsack in a mobile feed ranking context. This is a ProdMatch-owned mobile engineer drill, framed as a March 2026 Yellow.ai Consumer Mobile simulation, not a copied platform question.

Company context

Yellow.ai · Consumer Mobile

Freshness

March 2026

Product surface

mobile feed ranking

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

Question

Your Consumer Mobile roadmap has candidate improvements for mobile feed ranking. 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

Sync Ranking Budget OptimizermediumCache Ranking Budget OptimizerhardGesture Ranking Budget Optimizerhard