ALL function for removing filters in Power BI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does the ALL function do in Power BI DAX?

The ALL function removes filters from a table or column, showing all data regardless of any applied filters.

beginner

How would you use ALL to ignore filters on a specific column?

Use ALL(ColumnName) inside a measure to ignore filters on that column and calculate over all its values.

intermediate

What is the difference between ALL and REMOVEFILTERS in Power BI?

ALL returns all rows ignoring filters and can be used inside CALCULATE; REMOVEFILTERS explicitly removes filters but behaves similarly in many cases.

beginner

Write a simple DAX measure using ALL to calculate total sales ignoring any filters on Product Category.

Total Sales All Categories = CALCULATE(SUM(Sales[Amount]), ALL(Product[Category]))

intermediate

Why is ALL useful in creating percentage of total calculations?

ALL removes filters so you can calculate the total over all data, which is needed to find the percentage of a part compared to the whole.

What does ALL(Product[Category]) do in a DAX measure?

A Removes filters on Product Category

B Applies filters only on Product Category

C Counts distinct Product Categories

D Filters Product Category to selected values

ALL(Product[Category]) removes any filters on the Product Category column, so calculations consider all categories.

Which function can be used to remove filters from a whole table in DAX?

A ALL(TableName)

B FILTER(TableName)

C SUM(TableName)

D CALCULATE(TableName)

ALL(TableName) removes filters from the entire table, allowing calculations over all rows.

In which DAX function is ALL commonly used to modify filter context?

A SUMX

B CALCULATE

C FILTER

D VALUES

ALL is often used inside CALCULATE to change or remove filters for a calculation.

What happens if you use ALL without CALCULATE in a measure?

A It sums values ignoring filters

B It removes filters automatically

C It returns a table ignoring filters but does not change filter context

D It causes an error

ALL returns a table ignoring filters but does not change the filter context unless used inside CALCULATE.

Why would you use ALL in a percentage of total sales measure?

A To filter sales by category

B To apply filters on dates

C To count sales transactions

D To calculate total sales ignoring filters for the denominator

ALL removes filters so the total sales calculation includes all data, which is needed for the percentage denominator.

Explain how the ALL function changes filter context in a Power BI measure.

Think about how filters normally limit data and how ALL ignores them.

Describe a real-life example where using ALL in a measure would be helpful.

Imagine you want to show sales for one product as a percent of all sales.