In DAX, what is the effect of using ALL around a column, such as ALL('Product'[Product Name])?

In DAX, what is the effect of using ALL around a column, such as ALL('Product'[Product Name])?

• A. Removes all filters on the entire model
• B. Keeps all filters for the current context
• C. Excludes the specified column from filtering
• D. Removes filters only for the column specified inside ALL

Answer: (D)

ALL is used to override the filter context by removing filters on the specified table or column. When you apply ALL to a single column, it specifically ignores any filters that would normally apply to that column, while other filters in the context remain active. So using ALL('Product'[Product Name]) means the Product Name column is not filtered in the current calculation, but filters on other columns or related tables still apply. This is why the correct interpretation is that filters are removed only for the column inside ALL. For example, in a measure, this lets you compute a total across all products regardless of which product is currently filtered, while region or category filters continue to affect the result.

ALL is used to override the filter context by removing filters on the specified table or column. When you apply ALL to a single column, it specifically ignores any filters that would normally apply to that column, while other filters in the context remain active. So using ALL('Product'[Product Name]) means the Product Name column is not filtered in the current calculation, but filters on other columns or related tables still apply. This is why the correct interpretation is that filters are removed only for the column inside ALL. For example, in a measure, this lets you compute a total across all products regardless of which product is currently filtered, while region or category filters continue to affect the result.