During the validation step of the Field Extractor workflow, what can be done?

During the validation step of the Field Extractor workflow, several important actions can be taken to ensure that the field extraction is accurately defined and properly functioning. This step allows you to assess and refine the field extraction process before finalizing it.

One critical action is validating the source of the data. This means you can confirm where the data is coming from, which helps in understanding the context and ensuring that the extraction is relevant to the intended dataset. This contextual validation is essential for effective data analysis and making sure that the extracted fields are meaningful.

Additionally, the validation step provides the capability to refine the extraction by removing values that do not match the criteria for the field you are defining. This ensures that only relevant and accurate data points are included in the extracted fields, improving the quality of data analysis and reporting.

While modifying the field extraction itself might not be directly performed during the validation step, confirming the accuracy of what has been defined and making adjustments to the underlying data set or extraction criteria prior to finalization is an integral part of this process. Thus, the comprehensive ability to both validate the source and refine the matching values makes this step crucial for successful field extraction. Therefore, recognizing that multiple actions can be accomplished during validation supports the selection of the correct answer.