When possible, what is the best choice for summarizing data to improve search performance?
When possible, what is the best choice for summarizing data to improve search performance?
Data model acceleration is an efficient method to summarize data to improve search performance. It leverages precomputed summaries to speed up complex searches, making it particularly useful for large datasets. By accelerating a data model, subsequent searches on that data model are faster because the computation has already been performed and stored in an optimized format.
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.