**ACID**: Transaction log ensures atomic commits; concurrent readers see consistent snapshots.
**Time Travel**: versionAsOf, timestampAsOf; audit and rollback.
**Schema Enforcement/Evolution**: Reject bad data; add columns additively.
**MERGE/UPDATE/DELETE**: Upserts, CDC, corrections without full overwrite.
**OPTIMIZE/Z-Order**: Compact files; cluster by columns for read performance.
**Unified Batch + Streaming**: Same table for batch and streaming sink....
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 Puma. The answer also includes follow-up discussion points that interviewers commonly explore.
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