What is the purpose of Splunk knowledge objects?

The purpose of Splunk knowledge objects is to enhance data discovery and extraction. Knowledge objects are critical components within Splunk that allow users to define, organize, and manipulate data in a way that makes it easier to analyze and derive insights. This includes saved searches, event types, tags, field extractions, and lookups that enrich data and improve the search experience.

By creating knowledge objects, users can efficiently classify and retrieve relevant data, making it more accessible for analysis and reporting. This capability is essential for extracting meaningful information from large datasets, resulting in improved decision-making based on the insights gained from the data.

The other options focus on aspects that are important in their own right but do not directly pertain to the core functionality of knowledge objects. For instance, user authentication and access control are managed through different mechanisms in Splunk, while system performance relates to how efficiently Splunk processes and retrieves data rather than how that data is defined or categorized.