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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.

MediumTechnical
33 practiced
A client's mobile app has a strict network budget: each screen must average under 50KB of data transfer. As a Solutions Architect, propose end-to-end strategies to meet this budget across frontend, API and infra: payload shaping, field selection, compression, image handling, caching, code-splitting, and progressive loading.
MediumTechnical
33 practiced
Write pseudocode for a client-side caching strategy for a single-page app that prefers IndexedDB when available, falls back to in-memory, supports expiry, and serves offline reads. Also explain how to invalidate or refresh cache entries when the app becomes online again.
HardTechnical
42 practiced
Design an end-to-end architecture for a card payments integration that supports multiple acquirers each with different SLAs. Cover authorization flow, duplicate detection and idempotency, reconciliation and settlement, audit trails, retries, and regulatory requirements such PCI-DSS. Explain operational controls to ensure reliability.
MediumSystem Design
47 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.
MediumTechnical
43 practiced
Design a cache invalidation strategy for frequently updated but widely-read user profile data. Discuss options: TTLs, write-through vs write-back, cache-per-user vs shared caches, event-driven invalidation, cache stampede mitigation, and read-after-write consistency for critical flows.

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