What is a method to test for a property normalized data model?

Running a data model search and comparing the results to the Common Information Model (CIM) documentation is a method for testing whether the property normalized data model adheres to the expected structure and semantics. By executing a search through the data model, you can examine how the data is structured and whether it aligns with the definitions and expectations laid out in the CIM documentation.

This approach is valuable because it allows for a direct comparison with the standard guidelines provided by CIM, ensuring that the data you are working with is properly normalized. When the results of the data model search match the definitions in the CIM documentation, it gives you confidence that the data is appropriately formatted and can be used effectively within the Splunk environment.

The other methods, although potentially useful for various tasks within Splunk, do not specifically address the need to validate the normalization of the data model against predefined standards. Checking the schema settings in the Splunk UI focuses more on configuration and settings rather than validating data against data model standards. Validating against external data sources can provide insights but does not directly confirm adherence to CIM normalization. Using the REST API could give access to configurations and data model information but would not necessarily provide a direct method for confirming the property normalized nature of the data without an accompanying comparison to