HOTSPOT -
You are creating a Microsoft Power BI data model that has the tables shown in the following table.
 
The Products table is related to the ProductCategory table through the ProductCategoryID column. Each product has one product category.
You need to ensure that you can analyze sales by product category.
How should you configure the relationship from ProductCategory to Products? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
 
















 

Suggested Answer: 
    

Box 1: One-to-many -
The one-to-many and many-to-one cardinality options are essentially the same, and they're also the most common cardinality types.
Incorrect: A many-to-many relationship means both columns can contain duplicate values. This cardinality type is infrequently used. It's typically useful when designing complex model requirements. You can use it to relate many-to-many facts or to relate higher grain facts. For example, when sales target facts are stored at product category level and the product dimension table is stored at product level.
Box 2: Single -
Incorrect:
Bear in mind that bi-directional relationships can impact negatively on performance. Further, attempting to configure a bi-directional relationship could result in ambiguous filter propagation paths. In this case, Power BI Desktop may fail to commit the relationship change and will alert you with an error message.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

This question is in PL-300 Exam
For getting Microsoft Power BI Data Analyst Associate Certificate