Use case: ML inference and reporting pipeline. Raw events land in S3; Lambda validates; Step Functions orchestrates: preprocessing Lambda → external ML API (wait) → result Lambda writes to DynamoDB/S3 → Slack summary. Why Step Functions + Lambda: Lambda = stateless, short compute; Step Functions = state, retries, branching, observability. Architectural trade-off: Express Workflows for high-volume, short runs (cheaper); Standard for long-running, complex branching....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Capco. The answer also includes follow-up discussion points that interviewers commonly explore.
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