What is the distinction between 'searched' and 'indexed' data in Splunk?

The correct answer highlights that searched data refers to the queries executed by users to retrieve information from the indexed data, which encompasses all data that has been ingested and stored in Splunk for analysis.

In Splunk, once data is ingested, it is indexed, meaning it is processed and stored in a manner that allows for efficient searching and retrieval. The indexed data remains permanent until it is specifically deleted or rolled off due to retention policies. On the other hand, searched data pertains to the results generated from querying that indexed data. When a user performs a search, Splunk retrieves relevant entries from the indexed data based on the search criteria.

The distinction is important for understanding how data is managed within Splunk. Indexed data is foundational to the system's functionality, as it represents the actual stored data, while searched data is a transient result that comes from querying that stored information.

This understanding of data types is crucial in managing searches effectively and optimizing performance in Splunk and helps in grasping how Splunk organizes and leverages the ingested data for various analytical needs.