Which of the following functionalities does auditing in Dataverse provide?

Auditing in Dataverse provides the capability to log changes to records and data modifications. This functionality is essential for maintaining a detailed history of how data is altered over time, which can be crucial for compliance, troubleshooting, and understanding data flow within applications.

When auditing is enabled in Dataverse, it tracks specific actions on records such as create, update, and delete operations. This means that not only can you see what changes were made, but you also have information about who made the changes and when they occurred. This level of detail supports accountability and helps teams in data governance practices.

While historical data reporting can indeed be a result of auditing by summarizing the logged changes over time, the core functionality revolves around the direct logging of modifications, making the logging of changes the primary focus of auditing. Similarly, real-time data monitoring and user role tracking are functionalities that, while beneficial in various contexts, do not fall under the scope of what auditing in Dataverse specifically provides.