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Browse 4 real-world technical and behavioral interview questions about Data lineage. Review scenarios, edge cases, and architectural best practices.
Revoke once in the authorisation store, then propagate to the index ACLs, every cache holding text or results, any derived summaries and embeddings, and the conversation transcripts still carrying passages. Answers already delivered cannot be recalled, so the guarantee you offer is a bounded window rather than erasure.
Aggregation is easy arithmetic over hard inputs, so the design work is agreeing what may be added together, storing positions bi-temporally so a figure can be rebuilt as it was known on the day, and carrying lineage from every reported number back to the transaction that produced it.
You delete from the operational store, propagate to every derived copy you can enumerate, and for the copies you cannot rewrite you rely on crypto-shredding, keyed compaction, snapshot expiry and exclusion at the next retrain.
You quantify the error, decide materiality, tell the supervisor and resubmit with an explained delta. Building for that means an immutable snapshot of what was submitted, a re-run that reproduces it exactly, per-line lineage back to the ledger, and completeness asserted against a declared manifest rather than assumed.