SPLK-5002: What Splunk Configuration Ensures Events Are Parsed and Indexed Only Once for Optimal Storage?

Discover the Splunk configuration that ensures events are parsed and indexed only once for optimal storage. Learn why “Index Time Transformations” is the correct choice for efficient data processing in Splunk SPLK-5002 certification.

Question

Which Splunk configuration ensures events are parsed and indexed only once for optimal storage?

A. Summary indexing 
B. Universal forwarder
C. Index time transformations
D. Search head clustering

Answer

C. Index time transformations

Explanation

In Splunk, index time transformations are critical to ensuring that events are parsed and indexed only once, optimizing storage and processing efficiency. This configuration occurs during the indexing pipeline, where data is processed and written to disk. Here’s why this option is correct:

Parsing and Indexing Pipelines

• Splunk processes incoming data in two main stages: parsing and indexing. During parsing, data chunks are broken into events, while indexing involves final processing, such as creating index structures and compressing data for storage.
• Index time transformations occur during these stages, allowing administrators to apply rules like masking sensitive data, assigning metadata dynamically, or filtering unwanted events before they are stored.

Efficiency of Index Time Transformations

• By applying transformations at index time, Splunk ensures that data is processed only once, avoiding redundancy and saving disk space.
• This approach also improves search performance because unnecessary or irrelevant data is excluded from the index.

Best Practices for Index Time Transformations

• Configure props.conf and transforms.conf files on indexers or heavy forwarders to define transformation rules.
• Use these configurations to handle tasks like timestamp extraction, line breaking, sensitive data masking, and metadata assignment efficiently.

By leveraging index time transformations, Splunk administrators can ensure that data is processed optimally during ingestion, reducing storage requirements and enhancing overall system performance. This detailed explanation should clarify why “Index Time Transformations” is the correct answer for the SPLK-5002 certification exam question regarding optimal event parsing and indexing in Splunk!

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