**Impact**: Structured Streaming cannot recover. Query fails or restarts from scratch. Risk of duplicate processing (reprocess from earliest) or data loss (if starting fresh with no offset).
**Why Checkpoint Matters**: Stores processed offsets and state. Exactly-once semantics depend on it.
**Recovery**: For Kafka—reset offsets or start from earliest/latest. Reprocess may cause duplicates; idempotent sink required.
**Prevention**: Checkpoint in durable storage (S3, DBFS). Document recovery....
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 TCS. The answer also includes follow-up discussion points that interviewers commonly explore.
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