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Databricks Certified Data Engineer Professional · Databricks
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- Correct answer : A — A row filter is a function evaluated per row that excludes the row from the result set when it returns `false`, while a column mask is a function that transforms the value of one column, leaving the row itself present. A . This matches how the two mechanisms are defined: a row filter is a function returning a boolean that hides whole rows failing the condition, while a column mask is a function that substitutes or transforms the value shown for one column, leaving the row present. B . This swaps the two mechanisms' actual behavior — row filters act on whole rows and column masks act on individual column values, not the other way around as this option describes. C . Row filters and column masks are not restricted to only streaming tables versus only batch tables; both mechanisms can be applied across the table types Unity Catalog supports for this feature, so this distinction does not hold. D . Both row filters and column masks are query-time controls evaluated when a table is read, not one-time write-time transformations or controls limited to Delta Sharing access paths.