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Full Stack Architecture and Integration Questions

Designing end to end application architecture across presentation, application programming interface layer, business logic, persistence, and infrastructure. Candidates should be able to reason about trade offs across frontend state management, client side processing versus server side work, API contract design, data modeling and database selection, caching strategies, offline and real time update mechanisms, observability and operational concerns, and how infrastructure choices constrain or enable patterns at each layer. Emphasis is on separation of concerns while recognizing when tighter integration is needed for performance, consistency, or reduced latency.

MediumSystem Design
0 practiced
Design an API Gateway solution that handles OAuth2 authentication, per-client rate-limiting, dynamic routing to microservices, TLS termination, and provides structured metrics and tracing headers for observability. Explain where features should live (gateway vs service) and scaling implications.
EasyTechnical
0 practiced
As a Solutions Architect advising a client building both web and mobile frontends, explain the Backend-for-Frontend (BFF) pattern: what it is, why and when to introduce a BFF, key responsibilities of a BFF, and trade-offs in terms of maintenance, latency, and reuse across clients.
MediumSystem Design
0 practiced
Design an offline-first synchronization protocol for a mobile 'Notes' app where users can create, edit, and delete notes offline and sync later. Describe conflict resolution strategy (e.g., LWW, CRDT), sync windowing, delta sync, bandwidth constraints, and how you'd expose API endpoints for efficient reconciliation.
MediumBehavioral
0 practiced
Tell me about a time when you, as a Solutions Architect, had to convince a non-technical stakeholder to accept an architectural trade-off that increased short-term engineering effort but reduced long-term cost or risk. Use the STAR format: situation, task, action, result, and include metrics where possible.
HardSystem Design
0 practiced
Design an architecture to support one million concurrent WebSocket connections delivering personalized low-latency streams. Address connection routing, sticky sessions or token-based routing, state management, sharding users across nodes, horizontal scaling, and fallback for clients with limited protocols.

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