What must be included in the audit event logging for data models?

The requirement for including an inventory of distributed data models in audit event logging is crucial for several reasons. First, maintaining an accurate inventory helps organizations track which data models are in use and facilitates better data governance practices. This ensures that all models are accounted for, helping to validate compliance with internal policies and external regulations.

Having an inventory also supports audit trails, enabling organizations to trace the lineage of data used across various models. It allows for easier identification of potential security issues, data quality problems, or compliance breaches by providing a clear view of what models are deployed and where they are positioned in the data architecture.

In contrast, while user interactions, creator contact information, and documentation of all queries may be relevant for different aspects of data logging or user activity monitoring, they do not serve the same overarching purpose of comprehensive oversight of the data models themselves. Thus, an inventory directly supports effective management and compliance, justifying its inclusion in audit event logging.