When possible, what is the best choice for summarizing data to improve search performance?

Question

Options

• AUs the fieldsummary command.
• BData model acceleration
• CReport acceleration
• DSummary indexing

• A
  3% (1)
• B
  5% (2)
• C
  3% (1)
• D
  89% (34)

Explanation

Summary indexing (D) is the best choice because it pre-computes and stores aggregated results in a dedicated summary index, making repeated searches against large datasets dramatically faster - the heavy lifting happens once at index time, not at search time.

• A (fieldsummary command) is a search command that describes field statistics for a given dataset; it doesn't persist summarized data or accelerate future searches.
• B (Data model acceleration) accelerates searches built on data models using tsidx files, but it requires a properly defined data model and is scoped to CIM-compliant searches - it's not a general-purpose summarization strategy.
• C (Report acceleration) speeds up specific saved reports by caching results, but it's tied to a single report and is less flexible and broadly applicable than summary indexing.

Memory tip: Think of summary indexing as "cooking in bulk ahead of time" - you prepare the data once and serve it instantly later, which is why it's the go-to general solution when you can choose how to summarize.

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