Select all the ways in which outgoing data can be split when the RegEx tool is configured to "Tokenize".

When the RegEx tool is set to "Tokenize," it is designed to break up a string of text into smaller, manageable pieces based on specified patterns. This operation can effectively split data into distinct components that can be arranged in different formats.

Choosing to split data into Rows and Columns is accurate because tokenization can create new rows for each token (when set to split by a delimiter) or can distribute tokens into separate columns within the same row, depending on how the data is structured. This flexibility in restructuring data allows for efficient data manipulation and further analysis, which is a key function of the RegEx tool when tokenization is applied.

The other choices, like splitting into Cells and Fields or Documents and Formats, do not represent the primary functionality of the RegEx tokenization process in Alteryx. Tokenization specifically deals with creating tokens from text, which can be distributed across rows and columns rather than the broader and less specific categorizations mentioned in other options. Datasets and Queries similarly do not align with the fundamental capabilities of the tokenization process, which focuses on dissecting strings of data rather than the overarching data structure themselves.