Which of the following is a way to test for a property normalized data model?

To determine the validity of a property normalized data model in Splunk, running a data model search and comparing the results to the Common Information Model (CIM) documentation is a practical approach. The process involves executing a search using the | data model command, which allows you to test and validate the actual data returned against the specifications outlined in the CIM documentation for that specific data model.

This verification is crucial because the CIM documentation provides a detailed guide to the various fields and expected values for each data model. Ensuring that the data results align with the documentation helps you confirm that the data model is accurately reflecting the underlying data and is utilizing the correct field names and formats, which is essential for effective normalization.

This method enables users to identify discrepancies between the model and the data being ingested, facilitating adjustments to ensure compliance with expected standards. In doing this, the user guarantees that the data adheres to the predefined structure laid out for effective security analytics, improving the overall integrity and usefulness of the data within Splunk Enterprise Security.