Quiz

2627 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 areas2627 Architecture Fundamentals81 Distributed Systems101 Data Architecture90 Cloud Architecture77 Networking86 API & Integration Architecture78 Reliability & Resilience88 Observability81 Performance & Capacity Engineering90 Security Architecture85 Cost Architecture & FinOps82 Business Architecture93 Architecture Communication91 Enterprise Architecture91 Legacy Modernization82 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

86 questions in AI-Era Architecture.

Quiz

An enterprise AI platform serves many customers on shared inference infrastructure. What isolation is required, and where is the hardest boundary?

An inference platform receives computationally expensive requests in unpredictable bursts. Should it use admission control, request queues, dynamic batching, autoscaling, priority classes or pre-provisioned capacity?

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

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?

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

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?

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

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

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

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

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?