What are the two methods of raw data transformations in Splunk?

The correct choice for the two methods of raw data transformations in Splunk is SEDCMD and Transforms. Understanding these methods is crucial for managing how data is processed before and during indexing, providing significant flexibility to manipulate raw data to fit the specific needs of a Splunk deployment.

SEDCMD (Stream Editor Command) is a powerful feature that allows for real-time data transformation during the indexing process. It is used in props.conf files to modify or substitute specific patterns in the raw data streams, enabling users to clean up or format data as it arrives into Splunk.

Transforms, on the other hand, work in conjunction with SEDCMD and are defined in transforms.conf. They allow for more complex data manipulations and can be used to route, modify, or mask data at index time based on the conditions specified. Transforms can handle various tasks, including applying regular expressions to extract fields, altering data, or making other adjustments necessary for effective indexing.

Both SEDCMD and Transforms provide robust tools for tailoring the raw data input into Splunk, ensuring that it is structured and formatted appropriately for searching, reporting, and alerting once it is indexed.

Other options do not represent the specific methods of raw data transformations as effectively. Filters