When would a distributable streaming command be executed on an Indexer?
Correct Answer:
C
A distributable streaming command would be executed on an indexer if all preceding search commands are executed on the indexer (Option C). Distributable streaming commands are designed to be executed where the data resides, reducing data transfer across the network and leveraging the processing capabilities of indexers. This enhances the overall efficiency and performance of Splunk searches, especially in distributed environments.
Which of the following can be used to access external lookups?
Correct Answer:
D
Splunk supports the use of external lookups, which can be scripts or binary executables that enrich search results with external data. These external lookups can be written in various scripting languages or compiled as binary executables. Among the options given, Python and binary executables (Option D) are commonly used for creating external lookups in Splunk. Python is a widely used programming language that can easily interact with Splunk's API and data structures, and binary executables can be used for more complex or performance-critical lookup operations. Perl and Ruby (Options A and B) are less commonly used in this context, and Perl combined with binary executables (Option C) is not as standard for Splunk external lookups as Python.
Why use the tstats command?
Correct Answer:
B
The tstats command in Splunk is used to generate statistics on indexed fields, particularly from data models that have been accelerated (Option B). This command is highly efficient for summarizing large volumes of data because it operates on indexed-time summarizations rather than raw data, enabling faster search performance and reduced processing time. The tstats command is especially useful in scenarios where quick aggregation and analysis of indexed data are required, making it a powerful tool for exploring and reporting on data model information. While tstats can be seen as an alternative to some uses of the summary command (Option A), its primary utility is in its ability to leverage data model accelerations and indexed field statistics, rather than creating or referring to summary indexes. It does not specifically generate statistics on search-time fields (Option D) or create an accelerated data model (Option C), but rather it queries against existing accelerated data models.
Repeating JSON data structures within one event will be extracted as what type of fields?
Correct Answer:
C
Repeating JSON data structures within a single event in Splunk are extracted as multivalue fields (Option C). Multivalue fields allow a single field to contain multiple distinct values, which is common with JSON data structures that include arrays or repeated elements. Splunk's field extraction capabilities automatically recognize and parse these structures, allowing users to work with each value within the multivalue field for analysis and reporting
When possible, what is the best choice for summarizing data to improve search performance?
Correct Answer:
D