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.

HardSystem Design

0 practiced

Design a globally consistent rate-limiting and quota system that supports per-user, per-API-key, and per-tenant constraints. The system must remain usable under partial network partitions and provide eventual fairness while protecting from abuse. Discuss data stores, token-bucket implementations, and approximation techniques.

HardTechnical

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Define SLOs and error budgets for a public user-facing API platform operated by your client. Show how SLO targets drive architecture decisions such as redundancy, replication, caching and cost trade-offs, and outline a process to use error budgets for prioritizing engineering work vs feature delivery.

EasyTechnical

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Explain the main caching types used in full-stack architectures (CDN/edge, browser cache, in-memory app cache, distributed cache). For each, describe appropriate use cases, consistency implications, and a brief invalidation strategy example.

EasyTechnical

0 practiced

Explain server-side rendering (SSR) vs client-side rendering (CSR) vs incremental/static generation. As a Solutions Architect, recommend when to use each approach for SEO-sensitive pages, personalized dashboards, and offline-capable pages, listing trade-offs in latency and complexity.

HardSystem Design

0 practiced

Architect a server-side rendering system for personalized pages that must be cached at the edge CDN while keeping personalized content low-latency. Address cache key design, edge vs origin personalization, tokens/cookies, cache purging, and trade-offs between tailored per-user caches and server-side composition.

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