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
86 questions in AI-Era Architecture.
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Human in the Loop advanced
A pipeline combines automated processing with human review at scale. How should the boundary between them be designed?
2 min answer scale-aihuman-in-looproutingquality -
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 -
Human in the Loop advanced Multiple choice
An AI system routes decisions to human review. The override rate is 0.3%. Is the oversight working?
2 min answer oversightautomation-biasdesign -
Human in the Loop advanced
Design the moderation path for user-generated content at high volume, where both false positives and false negatives are costly.
2 min answer moderationmloversightdesign -
LLM Application Architecture advanced
A workspace product adds AI features over user content. Which architectural decisions dominate, and which are commonly deferred at cost?
2 min answer llm-applicationpermissionslatencycaching -
LLM Application Architecture advanced
An LLM chat product serves millions of multi-turn conversations. How do KV-cache reuse, prefix caching, continuous batching and session affinity change the architecture, and what breaks when a session lands on a different GPU?
3 min answer character-aikv-cacheprefix-cachinginference -
LLM Application Architecture beginner Multiple choice
Your chat endpoint streams tokens to the browser. A request fails after 300 of an expected 500 tokens are already on the user's screen. The team wants to apply the same automatic retry policy the rest of their API uses. Why is this different?
3 min answer streamingretriesidempotencylatency -
LLM Application Architecture advanced
Zoom publicly describes the architecture behind its AI Companion as a federated approach - its own models used alongside third-party frontier models, with work routed by task rather than every request going to a single provider. What problem does that structure solve that a single-provider design does not, and where would copying it be a mistake?
3 min answer model-routingmulti-providercostevaluation -
LLM Evaluation advanced
A platform ships AI features and cannot tell whether changes improve or degrade quality. What evaluation infrastructure is required, and in what order?
2 min answer evaluationregressionofflineonline -
LLM Evaluation advanced
A team ships an LLM feature and cannot tell whether changes improve it. What evaluation infrastructure is needed, and what does it not solve?
2 min answer unacademyevaluationgolden-setregression -
LLM Evaluation advanced
You are asked to prove an AI assistant is good enough to launch. How do you construct the evidence?
2 min answer evaluationlaunchgovernance -
LLM Evaluation advanced
Your RAG assistant gives confident answers that are subtly wrong. Where do you look first?
2 min answer ragevaluationdiagnosis