Which feature of the CIM App enhances search performance?

Data model acceleration is the feature of the CIM App that significantly enhances search performance. It achieves this by pre-computing and storing summarized statistical information derived from the raw event data, enabling faster retrieval and search operations. When searches are executed on data models that have been accelerated, Splunk uses the pre-computed statistics instead of scanning through the raw data each time a search is run. This results in reduced search times and improved efficiency, particularly beneficial for large datasets where performance can otherwise be hampered by the volume and complexity of the data processing.

In addition to optimized search speeds, data model acceleration supports more complex queries and visualizations that require aggregations, providing users with rich insights without the usual delay associated with querying unindexed raw data.

Other options mentioned do not directly enhance search performance to the same extent. Log retention policies, for instance, are more concerned with data management and compliance rather than the speed of data retrieval. Event boarding focuses on visual organization and context for monitoring events but does not influence underlying search performance. API integration pertains to connecting external systems or applications to Splunk but does not relate to the performance of searching within Splunk itself.