Which changes can be applied to output columns from the RegEx tool when the Parse output method is selected?

When using the RegEx tool with the Parse output method, the changes that can be applied to output columns primarily include name, size, and data type. This method focuses on extracting specific patterns from strings and creating output columns based on those extractions.

In this case, the output columns generated can be modified to suit the needs of subsequent analysis. For instance, you can change the name of the output columns to make them more descriptive, adjust the size if a different format is required, and set the data type to ensure compatibility with other tools or data processing requirements. This flexibility allows for customized data handling based on the extracted content from the original data source.

The other options—filtering and sorting, compression and encryption, and averaging and grouping—are not applicable to the output columns directly resulting from the RegEx tool when using the Parse method. Rather, those functions are more relevant to data management and transformation tasks in different contexts within Alteryx.