Summary indexing is designed to improve search performance by precomputing and storing summarized data in a separate index. This allows you to run searches on the smaller, summarized dataset rather than the full raw data, significantly speeding up search times.
Correct answer is B. Data model acceleration is the easiest and most efficient acceleration option and should be your first choice. From Splunk Fundamentals 3 slide 230.
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