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Quiz

2667 questions of the kind that actually get asked — in interviews, in architecture review boards, and by the person who has to run the thing at 3 AM. Every answer states the trade-off rather than the slogan, and says when the obvious choice is the wrong one.

All areas2667 Architecture Fundamentals81 Distributed Systems101 Data Architecture90 Cloud Architecture87 Networking86 API & Integration Architecture78 Reliability & Resilience88 Observability81 Performance & Capacity Engineering90 Security Architecture95 Cost Architecture & FinOps92 Business Architecture93 Architecture Communication91 Enterprise Architecture91 Legacy Modernization92 AI-Era Architecture86 Software Architecture & Engineering84 Architecture Patterns84 Architecture Decision-Making91 The Architect's Meta-Skills92 Delivery & Release Engineering93 Platform Engineering & Developer Experience92 Testing & Quality Architecture90 Data Platform Architecture88 Streaming & Real-Time Data93 Data Governance & Semantics81 Frontend & Experience Architecture91 Edge, Mobile & IoT88 Regulatory & Data Protection Architecture90 Assurance, Audit & Model Risk88
Difficulty Any beginner intermediate advanced

5 questions in Compute Models.

  1. Compute Models advanced

    A GPU platform has a few very large jobs competing with thousands of small ones. How should scheduling fairness, fragmentation, bin packing, preemption, queueing and starvation shape the architecture?

    2 min answer runpodgpuschedulingfragmentation
  2. Compute Models advanced

    A compute platform schedules GPU jobs with execution times ranging from minutes to weeks, where large jobs need many co-located accelerators. What happens if the scheduler uses simple first-come-first-served with best-fit packing?

    2 min answer schedulinggpufragmentationgang-scheduling
  3. Compute Models advanced

    A device-testing platform receives a burst of tens of thousands of test sessions after a major framework release. How should queues, worker pools, concurrency limits, resource classes, scheduling fairness and backpressure prevent capacity exhaustion?

    2 min answer browserstackschedulingfairnessqueueing
  4. Compute Models intermediate

    A fleet of 200 instances averages 15% CPU and 85% memory. Finance wants a 40% cost reduction. What do you do?

    2 min answer rightsizinginstance-familycost
  5. Compute Models intermediate

    A workload runs continuously at moderate load. Finance asks why the serverless bill is four times the previous instance cost. Explain the crossover and how you would calculate it.

    2 min answer serverlesscostcomputeduty-cycle