Microsoft Power BI Data Analyst Certification (PL-300) Practice Test 2025 - Free PL-300 Practice Questions and Study Guide

To visualize column distribution during data profiling in Power Query Editor, enabling the Column Profile is the correct choice. This feature provides a comprehensive overview of the data in a selected column, including data distribution insights such as the number of distinct values, minimum and maximum values, and the frequency of each value. It helps users understand patterns and anomalies within the data, which is crucial for ensuring data quality and making informed transformation decisions.

When the Column Profile is active, it displays visual representations, such as histograms and frequency charts, that facilitate quick assessments of the data's characteristics. By utilizing this feature, data analysts can effectively identify potential outliers, skewed distributions, or other significant occurrences at a glance.

Other options do not serve the same purpose. SQL View is focused on executing and viewing SQL commands rather than profiling data. Column Statistics provides aggregate information but lacks the detailed graphical visualization that Column Profile offers. Data View is primarily used for viewing data in a tabular format, which doesn't provide the necessary insights into distribution patterns like the Column Profile does. Using Column Profile is essential for thorough data analysis and profiling in Power Query Editor.