What is the purpose of a remove expansion?

• A. To reverse the direction of the order of the results
• B. To exclude some of the members from the results
• C. To replace some of the members in the results
• D. To strikethrough some of the members from the results

Answer: (B)

Remove expansion trims the expanded view by excluding certain members from what you see. When you expand a dimension, you typically reveal a list of members. Applying a remove expansion means those specified members won’t be included in the results, narrowing the dataset to what you need. This helps you focus on relevant data, reduces clutter, and can improve performance since unnecessary members aren’t loaded or displayed. For example, if you’re analyzing a product dimension and want to omit a subcategory, removing expansion will keep that subcategory out of the results. It’s not about changing order, replacing items, or drawing a line through them—it's simply about excluding them from the expanded view.