Which of the following are examples of search-time knowledge objects in Splunk?

Search-time knowledge objects in Splunk are components that enhance the context and usability of search results at the moment when searches are performed. Alerts and dashboards are perfect examples of search-time knowledge objects because they are designed to help users visualize data and respond to specific conditions or patterns identified within that data at the time of search.

Alerts allow users to define triggers based on search results, notifying them when certain conditions are met, while dashboards provide real-time graphical representations based on various search queries, making it easier for users to observe trends and key metrics. These components actively interact with the search results and provide added functionality, which aligns with the concept of search-time knowledge in Splunk.

Other options presented do not fit the definition of search-time knowledge objects. Data forwarders and indexers, for instance, are part of the data pipeline responsible for collecting, routing, and storing logs rather than enhancing the search experience itself. Knowledge articles and reports, while they contain valuable information, are typically not considered search-time objects; they function more as reference material or summaries of findings rather than interactive elements within searches. Similarly, operating system logs and metrics are raw data inputs rather than objects that provide enhanced functionality during searches.