Which of the following is a reason to use Data Model Acceleration in Splunk?

The correct answer is B. To retrieve data faster than from a raw index. Data Model Acceleration builds and maintains summary indexes (tsidx summaries) for your data models, allowing tstats and other accelerated searches to pull results directly from these summaries instead of scanning the full raw events - dramatically speeding up query performance.

Security Data Onboarding and Normalization

Question

Options

ATo quickly model various responses to a particular vulnerability.
BTo retrieve data faster than from a raw index.
CTo normalize the data associated with threats.
DTo rapidly compare the use of various algorithms to detect anomalies.

How the community answered

(32 responses)

B
94% (30)
C
3% (1)
D
3% (1)

Explanation

Data Model Acceleration builds and maintains summary indexes (tsidx summaries) for your data models, allowing tstats and other accelerated searches to pull results directly from these summaries instead of scanning the full raw events - dramatically speeding up query performance.

Topics

#data model acceleration#search performance#CIM#data models

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