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Splunk SPLK-5002 Exam - Topic 5 Question 10 Discussion
Topic #: 5
Which Splunk configuration ensures events are parsed and indexed only once for optimal storage?
Why Use Index-Time Transformations for One-Time Parsing & Indexing?
Splunk parses and indexes data once during ingestion to ensure efficient storage and search performance. Index-time transformations ensure that logs are:
Parsed, transformed, and stored efficiently before indexing. Normalized before indexing, so the SOC team doesn't need to clean up fields later. Processed once, ensuring optimal storage utilization.
Example of Index-Time Transformation in Splunk: Scenario: The SOC team needs to mask sensitive data in security logs before storing them in Splunk. Solution: Use an INDEXED_EXTRACTIONS rule to:
Redact confidential fields (e.g., obfuscate Social Security Numbers in logs).
Rename fields for consistency before indexing.
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