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Full Stack Architecture and Feature Design Questions

Ability to design complete features considering frontend UX, backend API design, database schema, and data flow. Understanding of separation of concerns and communication between layers. API-first design thinking. Discussing trade-offs (e.g., complex queries on backend vs post-processing on frontend). Designing for extensibility and maintainability.

EasyTechnical
0 practiced
Design the UX and front-end behavior for a form that edits a user's profile (name, avatar, bio). Describe loading states, optimistic updates, validation feedback, accessibility considerations, and how errors from the backend should be surfaced to the user in a way that supports retrying and partial failures.
HardTechnical
0 practiced
You are a senior engineer and need to convince a product manager not to ship a half-complete feature that could degrade user trust. Describe how you'd structure the discussion: present technical risks, propose a rollout plan with feature flags and experiments, define acceptance criteria, and outline a timeline and mitigation steps to enable a safe launch.
MediumSystem Design
0 practiced
Define microservice boundaries for an e-commerce checkout flow. Describe what belongs in Order Service vs Inventory Service vs Payment Service. Show minimal API interfaces between them and explain how you'd implement a saga pattern (compensation) to handle partial failures (e.g., payment success but inventory allocation fails).
EasyTechnical
0 practiced
Explain the principle of separation of concerns and describe how you would apply it when designing a new full-stack feature (for example, a 'Create Post' flow in a social app). Cover responsibilities of the frontend (UX, validation, optimistic updates), backend (business rules, aggregation, authorization), and data layer (persistence, simple invariants). Explain how this separation helps with testing, scaling, and maintainability.
EasyTechnical
0 practiced
Design a standard error contract for your public APIs. Provide a sample JSON error object and explain what fields are user-facing versus developer-facing, how to localize messages, and how to use HTTP status codes consistently across services.

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