Data Management and Api Design Questions
Designing how applications structure, expose, and consume data through APIs and backend systems. Covers API design principles for data endpoints, pagination, filtering and sorting, idempotency, versioning, rate limiting, schema design, normalization versus denormalization, consistency models, caching strategies, client side fetching patterns, and error handling. Includes considerations for data integrity across integrations, transactional boundaries, master data management, and how API decisions affect downstream consumers and performance.
MediumSystem Design
37 practiced
Design a REST search API for an e-commerce product catalog that supports multiple filters (category, brand, price range), facets (counts), sorting, pagination, and typo-tolerant full-text search. Explain how you'd map requests to Elasticsearch (or similar), what indices you would build, and how to cache or throttle expensive queries.
HardSystem Design
39 practiced
Design a robust API versioning strategy for a multi-region microservices platform that supports zero-downtime deployments and the ability to roll back breaking changes. Discuss traffic routing, schema negotiation, deployment windows, and strategies for database schema evolution across regions.
EasyTechnical
44 practiced
Explain how HTTP caching works for API GET endpoints: cache-control directives, ETag vs Last-Modified, the Vary header, and how conditional requests reduce bandwidth. When would you use CDN caching versus application-level caching and why?
HardSystem Design
47 practiced
Design a webhook-driven integration platform that allows third parties to subscribe to events, apply server-side transformations (mapping/enrichment), perform retries, enforce per-tenant security, provide sandbox testing, and surface observability. Discuss architecture, storage, multi-tenancy, backpressure, and rate-limiting for busy third parties.
HardTechnical
37 practiced
You need to add new enum values to a public API response without breaking older clients that may error on unknown enums. Propose server-side and client-side strategies (e.g., using strings instead of enums, unknown token handling), API schema annotations, and a migration plan to minimize client impact.
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