Can you remove values that aren't matches for a field during the validation step?

It is indeed possible to remove values that aren't matches for a field during the validation step because the validation process is designed to ensure the integrity and accuracy of data being indexed or processed. When validating data, you can set specific criteria for what constitutes a valid value for a field. If values do not meet those criteria, they can be filtered out, which helps to maintain a clean dataset.

This capability is essential in environments where data quality is paramount, allowing users to tailor what data should be retained based on defined rules. Filtering out invalid values during validation prevents them from being part of future analyses, enhancing the overall usefulness of the data within Splunk.

The other options imply various limitations or conditions that do not align with the flexible and controlled handling of data within Splunk’s validation process.