Portfolio ↗

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

59 questions in AI-Era Architecture.

  1. AI-Era Architecture advanced

    Legal asks whether customer personal data is being sent to your model provider. What must you be able to answer?

    2 min answer privacyaicompliance
  2. AI-Era Architecture advanced

    You are asked to give an internal AI agent access to the customer database, the ticketing system and outbound email so it can resolve support tickets. What is your response?

    2 min answer agentssecurityprompt-injectionhitl
  3. AI Gateways advanced

    A platform routes all model calls through an internal gateway. What belongs there, and what must not?

    2 min answer ai-gatewayroutingquotascaching
  4. AI Gateways advanced

    An AI gateway now terminates streaming responses for six products and holds a semantic cache shared across tenants. Two properties of that design have caused real outages and real data exposure at large AI providers. What has the organisation taken on and when does the bill arrive?

    3 min answer ai-gatewayopenaiblast-radiussemantic-cache
  5. AI Observability advanced

    A fraud model has been in production for eight months. Ground truth arrives weeks later. How do you know if it is still working?

    2 min answer mlmonitoringdrift
  6. AI Observability advanced

    Anthropic reported in 2025 that a routing bug sent a share of Claude Sonnet 4 requests to servers configured for a different context length, peaking at 16% of those requests in the worst hour on 31 August, and that it took weeks to identify. Error rates never moved. Which design decision allowed the delay and what telemetry closes it?

    3 min answer anthropicpostmortemsilent-regressionrouting
  7. AI Observability advanced

    What must be observable in an AI feature that is not covered by conventional application monitoring?

    2 min answer ai-observabilitytracingqualitycost
  8. AI Observability advanced

    You are asked to log every prompt and response for an assistant handling 2 million interactions a day, so quality regressions are diagnosable. Roughly how much data does that commit you to per year, and does the number change the design?

    3 min answer observabilityloggingretentioncost
  9. Chunking & Retrieval advanced

    A retrieval system over code and documentation performs poorly. Which chunking decisions matter, and what is the common mistake?

    2 min answer chunkingretrievalstructurecontext
  10. Chunking & Retrieval advanced

    Review this ingestion pipeline. An HR assistant covers 4200 policy documents totalling about 9 million tokens. Ingestion runs a semantic chunker, generates three hypothetical questions per chunk and embeds those too, ensembles two embedding models, builds a knowledge graph of entity links, and adds a parent-document store. The nightly rebuild takes 11 hours and one engineer maintains all of it. Retrieval quality has never been measured. What would you remove and what would you keep?

    3 min answer ragingestionover-engineeringevaluation
  11. Embeddings advanced

    A marketplace uses embeddings for product similarity. The embedding model is upgraded. What is the operational consequence, and how should the system be designed for it?

    2 min answer embeddingsmigrationversioningreindex
  12. Embeddings advanced

    You are building retrieval over an organisation's documents. Which three decisions most affect quality?

    2 min answer embeddingschunkinghybrid-retrievalevaluation