A nightly reprocessing job was accidentally deployed with this write and, on its first run, replaced an entire silver table with only a partial re-run's worth of data: ```python df.write.mode("overwrite").saveAsTable("catalog.sales.silver_payments") ``` The team now wants every reprocessing job to fail loudly instead of touching a table that already exists. Which save mode gives that behavior?
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Correct answer: errorIfExists, the default save mode, which makes the write fail if the target table already exists
Reference: https://docs.databricks.com/aws/en/delta/best-practices
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Official Answer (D): errorIfExists, the default save mode, which makes the write fail if the target table already exists
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