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Application Programming Interface Design and Integration Questions

Designing Application Programming Interfaces and selecting communication protocols to meet functional and non functional requirements. Candidates should be able to evaluate and choose between Representational State Transfer style resource oriented interfaces, Graph Query Language approaches, remote procedure call frameworks such as Google Remote Procedure Call, and message based or event driven integration patterns. Discussion should cover protocol and format trade offs including latency, throughput, consistency and ordering, binary versus text serialization formats such as protocol buffers or JavaScript Object Notation, developer ergonomics, client diversity, and resource consumption. Core design topics include contract design and schema evolution, versioning and backward compatibility strategies, pagination, filtering, sorting and error handling conventions, authentication and authorization models, rate limiting and quota strategies, caching choices, and gateway or proxy patterns. Integration concerns include direct synchronous calls, asynchronous message based decoupling, event streaming, and web hooks, plus client and server software development kits and data transformation between layers. Candidates should also explain resilience and reliability patterns such as timeouts, retries, circuit breaker and bulkhead techniques, and describe testing, monitoring and observability approaches including logging, metrics and distributed tracing. Finally, discussion should connect API and protocol choices to coupling, scalability, operational complexity, security posture, and developer productivity.

HardSystem Design
0 practiced
Architect an API platform for a multi-tenant SaaS product supporting tenant isolation, per-tenant feature flags, per-tenant rate limits, custom schema extensions, and data residency constraints. Discuss tenancy models (shared schema with tenant_id vs isolated DBs), tenant routing, policy enforcement, auditing, and how to evolve shared contracts safely without breaking tenants.
HardSystem Design
0 practiced
Design a monitoring and observability plan for an API platform. Define key metrics (latency p50/p95/p99, error rates, throughput, saturation), structured logging conventions, trace sampling policy, SLOs/SLIs/SLAs, alerting strategy, and dashboards to detect regressions. Describe how traces, logs, and metrics should be correlated for fast incident response.
HardTechnical
0 practiced
Design an event streaming pipeline using Kafka (or equivalent) that guarantees ordering where required and provides at-least-once or exactly-once processing semantics for critical financial events. Discuss partitioning strategy, use of producer idempotence, Kafka transactions, consumer offsets, and the practical trade-offs and pitfalls of implementing exactly-once end-to-end.
HardSystem Design
0 practiced
Design a global distributed rate limiter that guarantees a client cannot exceed its quota even when requests arrive concurrently across multiple regions. Discuss trade-offs between correctness and latency, use of consensus protocols (Raft/Paxos), leader election, local fast-paths, fallback behavior when the limiter is unavailable, and how to fail open or closed safely.
HardTechnical
0 practiced
Describe a comprehensive security program for public APIs that addresses the OWASP API Security Top 10: broken object level authorization, excessive data exposure, injection, authentication flaws, improper rate limiting, and more. Cover preventative controls (schema validation, least-privilege), runtime protections (WAF, anomaly detection), and CI checks to prevent risky changes.

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