A late-arrival job rebuilds only yesterday's slice of the events table, which is partitioned by event_date. In a single write, it must atomically replace only the rows whose event_date equals '2026-07-02' and leave every other day of the table untouched; the job's output DataFrame contains just the rebuilt day. Which write approach meets both requirements?
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Correct answer: Write with mode('overwrite') and option('replaceWhere', "event_date = '2026-07-02'") — only the matching rows are replaced, in one atomic commit
Reference: https://docs.databricks.com/aws/en/delta/best-practices
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Official Answer (C): Write with mode('overwrite') and option('replaceWhere', "event_date = '2026-07-02'") — only the matching rows are replaced, in one atomic commit
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