Stored procedure optimization: avoid excessive logic; use set-based operations not loops; minimize round-trips; use temp tables for intermediate; ensure indexes on accessed tables; avoid dynamic SQL when possible; use parameters; profile with execution plan; consider breaking into smaller procedures. **Why it matters**: Design choices compound at scale—wrong approach can cause 100× overhead. **Scalability trade-offs**: Profile before optimizing; validate on sample then full....
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 NAB. The answer also includes follow-up discussion points that interviewers commonly explore.
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