This table shows product sales data loaded from a DirectQuery source.
| Cell | Value |
|---|---|
| A1 | ProductID |
| B1 | ProductName |
| C1 | SalesAmount |
| A2 | 101 |
| B2 | Chair |
| C2 | 150 |
| A3 | 102 |
| B3 | Table |
| C3 | 300 |
| A4 | 103 |
| B4 | Lamp |
| C4 | 120 |
This table shows product sales data loaded from a DirectQuery source.
| Cell | Value |
|---|---|
| A1 | ProductID |
| B1 | ProductName |
| C1 | SalesAmount |
| A2 | 101 |
| B2 | Chair |
| C2 | 150 |
| A3 | 102 |
| B3 | Table |
| C3 | 300 |
| A4 | 103 |
| B4 | Lamp |
| C4 | 120 |
Total Sales = SUM(Sales[SalesAmount]) + SUM(ImportedSales[SalesAmount])A B C 1 ProductID ProductName SalesAmount 2 101 Chair 150 3 102 Table 300 4 103 Lamp 120 ImportedSales Table (not shown in cells) has SalesAmount: 200, 230 Formula uses Sales[SalesAmount] and ImportedSales[SalesAmount]
D 1 Total Sales 2 1000
What is the main benefit of using composite models in Power BI?
Which of the following is the correct way to enable composite models in Power BI?
Options > Preview Features > Enable Composite Models
Given a composite model with two tables: Sales (Import mode) and Customers (DirectQuery mode), what happens when you create a relationship between them?
You created a composite model with Import and DirectQuery tables but get an error when trying to build a relationship. What is a likely cause?
You have a composite model with three tables: Orders (Import), Products (DirectQuery), and Customers (Import). You want to create a report showing total sales by product category and customer region. Which approach is best?
Products enables combined sales by product category and customer region.Products, and build visuals combining all data. -> Option CPass the test and this pattern moves unknown