ProdMatch
CompaniesCitiesRolesSign in

Companies

  • Google
  • Microsoft
  • Meta
  • Amazon
  • Apple
  • Atlassian
  • Nvidia
  • Oracle
  • See all 51 →

Cities

  • Bengaluru jobs
  • Hyderabad jobs
  • Pune jobs
  • Gurugram jobs
  • Noida jobs
  • Delhi NCR jobs
  • Mumbai jobs
  • Chennai jobs
  • Remote-India jobs

Roles

  • QA / SDET Engineers
  • Backend Engineers
  • Frontend Engineers
  • Full-stack Engineers
  • Data Analysts
  • Data Engineers
  • ML / AI Engineers
  • DevOps / SRE Engineers
  • All roles →

ProdMatch

  • About
  • Career guides
  • Compare
  • Salaries
  • Skills
  • DSA practice
  • Privacy
  • Terms
  • Sign in

© 2026 ProdMatch.ai · Built for India · DPDP Act 2023 compliant · Job data sourced from official company career pages.

Back to DSA
Bit Manipulationmedium45 minDevOps / SRE Engineer

Quota Policy State Compression

DevOps / SRE Engineer signal: bitmask DP + state compression in a tenant quota scheduler context. This is a ProdMatch-owned devops sre drill, framed as a May 2026 Zomato Platform Ops simulation, not a copied platform question.

Company context

Zomato · Platform Ops

Freshness

May 2026

Product surface

tenant quota scheduler

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

Question

For tenant quota scheduler, each tenants requires a subset of capabilities. Choose the smallest team of services covering all required capabilities; tie-break by lowest total risk.

Input

  • m capabilities and services with capability masks plus risk.

Output

  • Minimum service count and risk, or impossible.

Constraints

  • 1 <= m <= 22
  • 1 <= services.length <= 2000
  • Capability sets may overlap heavily.

Concepts

  • blast-radius graphs
  • alert dedupe
  • rolling windows
  • bitmask DP
  • state compression
  • subset enumeration

required={A,B,C}, services=[AB risk 4, C risk 1] -> count=2, risk=5

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

  • Do not shift beyond the integer width in fixed-width languages.
  • Keep feature-to-bit mapping stable.

Next Similar Problems

Incident Policy State CompressionhardDeploy Policy State CompressionhardCapacity Policy State Compressionmedium