Quiz

2948 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 areas2948 Architecture Fundamentals91 Distributed Systems101 Data Architecture90 Cloud Architecture87 Networking96 API & Integration Architecture87 Reliability & Resilience99 Observability92 Performance & Capacity Engineering100 Security Architecture105 Cost Architecture & FinOps102 Business Architecture103 Architecture Communication102 Enterprise Architecture100 Legacy Modernization102 AI-Era Architecture106 Software Architecture & Engineering93 Architecture Patterns94 Architecture Decision-Making101 The Architect's Meta-Skills102 Delivery & Release Engineering103 Platform Engineering & Developer Experience102 Testing & Quality Architecture102 Data Platform Architecture98 Streaming & Real-Time Data103 Data Governance & Semantics91 Frontend & Experience Architecture101 Edge, Mobile & IoT98 Regulatory & Data Protection Architecture99 Assurance, Audit & Model Risk98

Difficulty Any beginner intermediate advanced

3 questions in Vector Databases.

Quiz

A multi-tenant assistant searches one HNSW index of 200M vectors and filters results to the requesting tenant. Large tenants are fine. For tenants with only a few thousand documents recall collapses and latency triples. Which change fixes it?

A platform needs similarity search over a large and growing corpus. What decides between a dedicated vector database, a vector extension to an existing store, and a search engine with vector support?

You must serve similarity search over 200 million embeddings of 1024 dimensions with an in-memory HNSW index. Which estimate and which lever are right?