PL-300 Visualize and analyze the data Practice Question
Exhibit
Sales = CALCULATE(SUM(Sales[Amount]), Sales[Region] = "North")
Refer to the exhibit. You have a Power BI measure defined as shown. Users report that when they filter by region, the measure always shows sales for the North region regardless of the filter. What is the most likely cause?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The filter argument in CALCULATE overrides the existing filter context on Region.
The CALCULATE function includes a filter argument that overrides any existing filter context on the Region column. Option B is wrong because SUM does not ignore filters. Option C is wrong because the measure syntax is valid. Option D is wrong because the filter is on Region, not on the entire table.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The filter argument in CALCULATE overrides the existing filter context on Region.
Why this is correct
CALCULATE's filter arguments are evaluated as filter predicates that modify the existing filter context for the entire evaluation of the expression. When a filter argument references a column (here, Region), CALCULATE removes any existing outer filters on that same column and replaces them with the condition specified, so the measure's SUM is computed only over the Region values that the current filter argument dictates. This overriding behavior is intentional and is the key reason the measure returns the expected result rather than layering filters.
- ✗
The SUM function ignores filters applied to the Sales table.
Why it's wrong here
The SUM function in DAX is a scalar aggregation that operates within the current filter context; it does not ignore or discard any filters applied to the Sales table. Filters from slicers, page-level filters, report-level filters, or row/column context in a visual all restrict the rows that SUM sees. The confusion arises because CALCULATE, not SUM, is responsible for changing the filter context — SUM alone is faithful to whatever context it is called in.
- ✗
The measure syntax is invalid and defaults to no filter.
Why it's wrong here
The measure syntax is completely valid: CALCULATE accepts a scalar expression (SUM(Sales[Amount])) followed by one or more filter arguments written as boolean expressions or table filters. Using a simple predicate like Sales[Region] = "West" is a standard way to filter, and there is no requirement to use the FILTER function unless a more complex expression is needed. Therefore, the premise that the syntax is invalid is false, and the measure does not "default to no filter" — it evaluates with the filter explicitly applied.
- ✗
The filter is applied to the entire Sales table, not just the Region column.
Why it's wrong here
The filter argument in CALCULATE, when written as a boolean column predicate, does not filter the entire Sales table; it filters only the column referenced in the predicate. Specifically, the condition Sales[Region] = ... is evaluated for each row in the Sales table, and only rows that satisfy the condition on the Region column are retained in the filter context. This is not a table-level filter like a Row-Level Security rule; it is a column-level filter, and other columns in the Sales table remain unaffected unless the filter is propagated through relationships.
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