Which statement best describes the effect of applying a visual-level filter in Power BI?
Think about how filters affect visuals individually versus globally.
Visual-level filters apply only to the specific visual they are set on, leaving other visuals unaffected.
Given a measure Total Sales = SUM(Sales[Amount]) and a visual-level filter on Sales[Region] set to "West", what will Total Sales show in that visual?
Total Sales = SUM(Sales[Amount])
Visual-level filters limit the data context for the measure in that visual.
The visual-level filter restricts data to the West region, so the measure sums only those sales.
You want to show a bar chart of monthly sales but only for products in the "Electronics" category. Which visual-level filter setup is correct?
Focus on filtering only the specific visual, not the whole page or report.
Visual-level filters apply only to the selected visual, so applying the filter on the bar chart is correct.
You applied a visual-level filter on Customer[Country] to show only "USA" customers in a table visual, but the table still shows all countries. What is the most likely cause?
Consider how relationships affect filtering in visuals.
If there is no relationship between Customer and the fact data, filtering on Customer[Country] won't affect the visual's data.
You have a measure High Sales Count = CALCULATE(COUNTROWS(Sales), Sales[Amount] > 1000). You apply a visual-level filter on Sales[Year] = 2023. What does High Sales Count show in the visual?
Visual-level filters affect the filter context of measures unless overridden inside the measure.
The visual-level filter restricts data to year 2023, so the measure counts only sales over 1000 in 2023.