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Dynamic Programming / 1Dhard70 minDevOps / SRE Engineer

Capacity Ranking Budget Optimizer

DevOps / SRE Engineer signal: dynamic programming + knapsack in a capacity allocator context. This is a ProdMatch-owned devops sre drill, framed as a March 2026 Practo Cloud Infra simulation, not a copied platform question.

Company context

Practo · Cloud Infra

Freshness

March 2026

Product surface

capacity allocator

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

Question

Your Cloud Infra roadmap has candidate improvements for capacity allocator. 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

  • blast-radius graphs
  • alert dedupe
  • rolling windows
  • 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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