Microsoft Power BI Data Analyst Practice Question

The correct answer is Clustering. Clustering is an unsupervised machine learning feature in Power BI that automatically finds natural groups (clusters) in data. In a scatter chart, it identifies data points that are similar based on the plotted measures, which is ideal for automatic customer segmentation based on behaviors like sales amount and transaction frequency.

• Grouping is incorrect because it is primarily a manual process. You would need to select specific data points or categories to combine them, which contradicts the requirement to automatically identify segments.
• Binning is incorrect because it is used to group values from a single continuous field into ranges of a fixed size, like creating age brackets from an 'Age' column. It is not designed to find segments based on two different measures simultaneously, as required in this scenario.
• Creating a new conditional column is incorrect because this method requires you to manually define the rules and thresholds for each segment (e.g., using DAX or Power Query). This is not an automatic discovery process. The Clustering feature is the dedicated tool for automatically finding these patterns.