SPLK-1004 Splunk Core Certified Advanced Power User Exam Questions and Answers

The correct way to exclude entries from the lookup file baditems.csv is using NOT [inputlookup baditems.csv]. This syntax excludes all entries in the lookup from the main search results.

To troubleshoot dashboards in Splunk, go to the Troubleshooting dashboard of the Search & Reporting app. This tool provides insights into performance and potential issues, helping identify and resolve problems efficiently.

The append command in Splunk is used with a subsearch to add additional data to the end of the primary search results and can access historical data, making it useful for combining datasets from different time ranges or sources.

The tstats command is used to generate statistics on indexed fields, particularly from accelerated data models. It operates on indexed-time summaries, making it more efficient than using raw data.

Contextual drilldown allows values from user clicks to be passed into another dashboard or external page, making dashboards interactive and responsive to user input.

The erex command in Splunk generates regular expressions based on example data. These generated regular expressions can then be edited and utilized with the rex command in subsequent searches.

The coalesce function returns the first non-null value from a list of fields, and it can be used within an eval expression to create a new field in the results set. This is useful when handling missing or inconsistent data across multiple fields.

The Admin role (Option D) has the privilege to use the Log Event alert action, which logs an event to an index when an alert is triggered. Admins have the broadest range of permissions, including configuring and managing alert actions in Splunk.

The predefined drilldown token $row.$ captures the value of a clicked table row in a Splunk dashboard. This token is used to pass the clicked value to another dashboard or component, enabling dynamic updates based on user interaction.

When using nested search macros, the argument value can be passed to the inner macro by specifying it in the outer macro. This allows dynamic arguments to flow into the inner macro, enabling flexible and reusable search logic.

The transaction command requires events in ascending chronological order to group related events correctly into meaningful transactions.

The fieldsummary command provides statistical summaries of fields, including the count of events containing the field (count) and the distinct count of field values (dc). Standard deviation (stdev)and mean are not provided by fieldsummary, but can be calculated using commands like stats.

The recommended way to create a field extraction that is both persistent and precise is to use the Field Extractor and manually edit the generated regular expression. This ensures accuracy and allows for customization beyond the automatically generated regex.

Report acceleration pre-computes and stores results from searches, improving the performance of dashboards that display those reports by retrieving pre-computed data instead of running a full search each time.

When Splunk encounters repeating JSON data structures in an event, they are extracted as multivalue fields. These allow multiple values to be stored under a single field, which is common with arrays in JSON data.

In Splunk, the span argument is used to set the size of each bin when using the bin command, determining the granularity of segmented data over a time range or numerical field.

The spath command in Splunk requires the input and output path arguments. The input specifies the field or data source to parse, and the path defines the location of the data within a structured format like JSON or XML.

The base lispy expression represents how Splunk parses and simplifies a search command. In this case, the lispy format shows how Splunk is breaking down the search terms to effectively perform the search.