You have sales data by region and product category. Which chart type best helps compare sales across categories within each region?
Think about comparing parts within groups clearly.
A stacked bar chart allows easy comparison of sales by category within each region, showing both total and part contributions.
You have a dashboard with many charts and tables crowded together. What is the best practice to improve readability?
Think about how your eyes move and focus on information.
Increasing white space and grouping related visuals helps users scan and understand the dashboard easily without feeling overwhelmed.
Given a sales table with CustomerSegment and SalesAmount columns, which DAX measure correctly calculates total sales for the 'Corporate' segment only?
Measure options:
CALCULATE with FILTER is the correct syntax for conditional aggregation.
Option D uses CALCULATE with FILTER correctly to sum sales only for 'Corporate' segment. Option A is also valid using a shorthand boolean filter argument. Option B works but is less efficient. Option C is invalid syntax.
You have two tables: Customers and Orders. Customers has CustomerID as unique key. Orders has CustomerID as foreign key. What is the best relationship type to model this in Power BI?
Think about uniqueness and filter direction for lookup tables.
Customers is lookup table with unique CustomerID, Orders is fact table with many orders per customer. One-to-many from Customers to Orders with single direction filter is best practice for performance and clarity.
You are designing a sales report dashboard. How do you ensure it is accessible for users with color vision deficiency?
Consider how colorblind users perceive colors and how to convey information clearly.
High contrast colors combined with patterns or direct labels help colorblind users distinguish data easily. Avoid red-green combinations alone. Text alone reduces visual appeal and pastel colors may lack contrast.