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Quiz

2988 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 areas2988 Architecture Fundamentals91 Distributed Systems111 Data Architecture100 Cloud Architecture97 Networking96 API & Integration Architecture97 Reliability & Resilience99 Observability92 Performance & Capacity Engineering100 Security Architecture105 Cost Architecture & FinOps102 Business Architecture103 Architecture Communication102 Enterprise Architecture100 Legacy Modernization102 AI-Era Architecture106 Software Architecture & Engineering93 Architecture Patterns94 Architecture Decision-Making101 The Architect's Meta-Skills102 Delivery & Release Engineering103 Platform Engineering & Developer Experience102 Testing & Quality Architecture102 Data Platform Architecture98 Streaming & Real-Time Data103 Data Governance & Semantics91 Frontend & Experience Architecture101 Edge, Mobile & IoT98 Regulatory & Data Protection Architecture99 Assurance, Audit & Model Risk98
Difficulty Any beginner intermediate advanced

3 questions in Sampling.

  1. Sampling advanced

    A commerce API serves 2000 requests per second and keeps 1% of traces. The team wants to watch a 0.5% checkout error rate from the trace store and page when it moves by a tenth of itself. Roughly how much traffic must the sample cover before that reading is trustworthy, and what does the answer say about the alert?

    3 min answer samplingstatisticstracingalerting
  2. Sampling advanced

    A platform with extreme traffic spikes needs distributed tracing. Head-based sampling loses the interesting traces and 100% sampling is unaffordable. What strategy resolves this?

    2 min answer dream11tracingtail-samplingsampling
  3. Sampling advanced Multiple choice

    An edge platform handles enormous request volume and cannot retain telemetry for every request. Which sampling strategy should it use, and what breaks under naive uniform sampling?

    2 min answer samplingtail-basedhead-basedstatistics