Why do advanced interactions in BI dashboards often require testing complex flows?
Think about how multiple user actions can change what data is shown or how visuals update.
Advanced interactions often link several steps or filters together. Testing ensures these linked steps work smoothly and show correct data.
You have a sales dashboard with a drill-through interaction from a summary chart to detailed sales data. What should you test to ensure the interaction works correctly?
Focus on what happens after the user clicks the summary item.
Drill-through interactions should filter the detailed data based on the selected summary item and update visuals to reflect that filter.
Given a sales table with a 'SalesAmount' column, which DAX measure correctly calculates total sales ignoring all report filters?
Think about how to remove all filters from the Sales table.
Using CALCULATE with ALL removes all filters on the Sales table, returning total sales regardless of slicers or filters.
You want to show monthly sales trends with the ability to drill down to daily sales. Which visualization type is best suited for this?
Consider which chart type naturally shows trends over time and supports drill-down.
Line charts are ideal for trends and can easily support drill-down on time hierarchies to show detailed daily data.
A report filter is supposed to update multiple visuals, but one visual does not change when the filter is applied. What is the most likely cause?
Check how the visual interacts with filters and data sources.
If a visual is not connected to the filtered data or filter interactions are turned off for it, it will not update when filters change.