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Databricks Certified Data Engineer Associate · Databricks
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- Correct answer : A — Write with `mode("overwrite")` and `saveAsTable` to fully replace the managed silver table on every single run A . `saveAsTable` with `mode("overwrite")` writes the DataFrame as a managed table under the given three-level name and replaces all existing rows on each run, matching the requirement to fully refresh the silver table. B . `append` mode adds the cleaned rows on top of whatever already exists in the table, which would duplicate previously written data instead of replacing it as the scenario requires. C . A temporary view only exists for the current Spark session and is never persisted as a table in Unity Catalog, so the cleaned data would disappear once the session ends. D . Writing CSV files to a local or object-store path creates plain files rather than a queryable Unity Catalog table, so it does not register `events_silver` as a table at all.