1. Capacity Modelling advanced

    A game hosts a scheduled in-world event for 30 million concurrent players. How should matchmaking, instance allocation, pre-scaling, login queues and degradation be planned, and what is rehearsed?

    3 min answer epic-gamesfortnitelive-eventsmatchmaking
  2. Capacity Modelling advanced

    A training cluster has 512 NVIDIA H100-class GPUs in 64 eight-GPU nodes and the scheduler reports 96 GPUs free. Roughly how much collective bandwidth per GPU does a new 64-GPU job get, and what should the capacity report say instead of "96 GPUs free"?

    3 min answer nvidianvlinkncclfragmentation
  3. Capacity Modelling intermediate Multiple choice

    Alibaba reported a peak of 583,000 order creations per second during Singles' Day in 2020. Suppose one promoted item accounts for 0.5% of those orders and its stock is held in a single row. Roughly how many updates per second does that row have to absorb?

    2 min answer alibabaflash salehot keywrite contention
  4. Capacity Modelling intermediate Multiple choice

    You run in three availability zones and must survive losing one. What is your maximum normal utilisation and why?

    2 min answer capacityheadroomfailure-domainsutilisation
  5. Capacity Modelling intermediate Multiple choice

    Zoom's CEO wrote on 1 April 2020 that maximum daily meeting participants went from roughly 10 million at the end of December 2019 to more than 200 million in March 2020. For any platform absorbing a 20× demand rise over three months rather than three minutes, which capacity decision does the slower surge force that the fast one does not?

    3 min answer zoomcapacity-modellinglead-timequota
  6. Cardinality advanced Multiple choice

    A live-streaming platform of Twitch's shape needs usable latency quantiles for 300 API endpoints whose responses span 2 ms to 90 seconds. The current histograms use 12 fixed buckets topping out at 10 seconds and every p99 above that reads as the overflow bucket. Which change fits the problem?

    3 min answer cardinalityhistogramsopentelemetryquantiles
  7. Cardinality advanced

    A single deploy took down your monitoring platform. What happened, and how do you prevent a recurrence?

    2 min answer cardinalitymetricscostguardrails
  8. Cardinality advanced

    A team wants to debug failures nobody predicted, using wide high-cardinality events rather than pre-aggregated metrics. How does the storage design differ, and how must sampling preserve rare errors?

    3 min answer honeycombwide-eventscardinalitysampling
  9. Cardinality advanced

    An observability platform ingests billions of telemetry events daily, and some customers attach dimensions with unbounded distinct values. How should ingestion, storage, indexing and query be designed so cost and latency stay manageable?

    2 min answer cardinalitytime-seriesingestionmulti-tenancy
  10. Cardinality advanced

    An observability platform ingests enormous telemetry volume, but a small number of dimensions create extreme cardinality. How should ingestion, aggregation, indexing, sampling, retention and storage tiers be designed so cost and query performance stay predictable?

    2 min answer grafanacardinalitytelemetry-costretention
  11. Career Development intermediate

    An engineer wants to become an architect. What should they deliberately practise, and what commonly stalls the transition?

    2 min answer careerpracticebreadthcommunication
  12. Career Development intermediate

    An interviewer asks: "Tell me about an architectural decision you got wrong." What is being tested, what does a weak answer look like, and what does a strong one contain?

    3 min answer interviewjudgementcalibrationlearning