What is the behavior of Knowledge Objects regarding data source normalization?

Knowledge Objects in Splunk play a crucial role in enhancing the usability and functionality of the data being ingested. When discussing data source normalization, these objects are designed to help standardize and enhance the interpretation of data across various formats and sources. This normalization is significant because it enables consistent analysis and reporting within Splunk, regardless of the original data format or structure.

By allowing transformations and creating a unified schema for different data inputs, Knowledge Objects facilitate efficient querying and accurate result generation. This means that users can create more meaningful search results and visualizations because the underlying data is normalized and more coherent.

The other options imply limitations or misrepresent the purpose of Knowledge Objects. They do not simply exist for visualization, nor are they restricted by permissions that impede their ability to normalize data. Their primary functionality includes data normalization, making the assertion that they can normalize data effectively the most accurate.