Tokenization $($data transformation stage$)$ is about transforming data to matching data models. Which of the following best describes the tasks specific to tokenization?

Punctuation and white space may or may not be included in the resulting list.

The apparent sensitive values of the records$$ attributes are identified and sorted in ascending order based on the attributes$$ frequencies.

After sorting, the values are grouped into similar buckets.

Only those containing distinct sensitive values are kept.