What is meant by "cooked data" in Splunk?

"Cooked data" in Splunk refers to raw data that has been processed and includes additional attributes, such as timestamps, sourcetypes, and other metadata. This processing occurs during the indexing phase, where the raw data is transformed into a more usable format for search and analysis. Adding these attributes allows for better organization, searching, and retrieval of the data.

When data is cooked, it becomes more structured and easier to work with compared to raw data, which is just the unprocessed information that does not yet contain any additional context or enhancements. This transformation is crucial for effective data analysis, enabling users to execute more complex queries and derive insights from the data efficiently.

The other answer choices do not capture the essence of what "cooked data" means within the context of Splunk. Compressed log files or encrypted logs refer to specific states of data but do not imply the additional attributes provided during processing. Furthermore, data that has not been indexed refers to raw data that is waiting to be processed and does not reflect the enhancements made by cooking.