1. AI Cost Management intermediate

    A product embeds model calls in several features and spend is growing unpredictably. What controls actually bound it?

    2 min answer posthogcosttokenscaching
  2. AI-Era Architecture intermediate Multiple choice

    A client wants an assistant that answers questions from 50,000 internal documents which change weekly. RAG or fine-tuning? What actually determines the quality?

    2 min answer ragllmretrievalarchitecture
  3. AI Gateways intermediate

    Several product teams call model providers directly. What does introducing an AI gateway buy, and what does it cost?

    2 min answer credgatewayabstractioncost
  4. AI Gateways intermediate

    Six teams are calling model providers directly from their applications. Justify an AI gateway, and say what it should not do.

    2 min answer platformgovernancecost
  5. Chunking & Retrieval intermediate

    A live assistant serves 1.8M documents chunked at a fixed 512 tokens with no overlap. You need to move to structure-aware chunks of about 900 tokens with 15% overlap and a newer embedding model, with no downtime and no quality regression. What is the sequence?

    3 min answer chunkingre-embeddingmigrationshadow-traffic
  6. Chunking & Retrieval intermediate

    Users report the assistant gets numbers wrong when answering from documents containing tables. Diagnose.

    2 min answer ragchunkingquality
  7. Guardrails intermediate

    An AI feature needs guardrails on inputs and outputs. Where should they run, and what is the latency and reliability consequence?

    2 min answer mistralguardrailssafetylatency
  8. Guardrails intermediate Multiple choice

    Your output safety classifier blocks 0.3% of responses in English and 6% in Portuguese and Turkish. Complaints arrive only from those two markets. The vendor confirms the same model version serves every region and reports no incident. Where do you look first?

    3 min answer guardrailsclassifierscalibrationlocalisation
  9. Human in the Loop intermediate

    A platform uses AI to propose substitutions when items are unavailable. Where should the human sit in the loop, and what determines it?

    2 min answer human-in-the-loopautonomyconfidenceescalation
  10. ML Platform intermediate

    A machine-learning platform must ingest telemetry from many concurrent training runs. What are the workload's distinguishing characteristics?

    2 min answer weights-biasesml-platformtelemetryingestion
  11. Model Selection intermediate Multiple choice

    A client wants a model that follows their specific document formatting conventions and answers from their knowledge base. What do you recommend?

    2 min answer ragfine-tuningarchitecture
  12. Model Selection intermediate

    A content platform must choose between a large hosted model, a smaller hosted model and a self-hosted open model for a moderation task. What decides it?

    2 min answer sharechatmodel-selectioncostlatency