Splunk Enterprise Certified Admin Practice Test

What are the two methods used by Splunk for raw data transformation?

1. Transforms and Data Rules

2. Search Commands and Time Formats

3. SEDCMD and Transforms

4. Regex and Event Limits

The correct answer is: SEDCMD and Transforms

Raw data transformation in Splunk is an essential process that allows users to manipulate and process data as it is ingested or searched. The two primary methods Splunk uses for raw data transformation are SEDCMD and Transforms. SEDCMD, which stands for Search Evaluation Data Command, is utilized primarily in the inputs.conf configuration file to execute stream editing commands on raw event data as it is being ingested into Splunk. This allows administrators to modify the incoming data in real-time, such as replacing text or removing specific fields. Transforms, on the other hand, refers to the Transforms.conf configuration file where you can define field extraction, data masking, lookups, and other modifications to data after it has been indexed. This provides a powerful way to manipulate and enrich the data inside Splunk after it has been ingested. Understanding these methods is crucial for ensuring that data is indexed correctly and organized in a manner that meets the operational and analytical needs of an organization. The use of SEDCMD and Transforms allows Splunk administrators to implement effective data transformations tailored to specific use cases, enhancing data reliability and accessibility for users.