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

The list function of the stats command creates a multivalue entry, combining multiple occurrences of a field into a single multivalue field.

The stats count by productId command counts the number of events for each unique productId, making it the correct command for generating a summary index based on event counts.

When the base search of a dashboard panel with post-processing searches is refreshed, the panels with these post-processing searches are refreshed automatically to reflect the updated data.

In Splunk dashboards, event annotations require the attribute

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.

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 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.

To create a Log Event alert action in Splunk, a power user needs the edit_alerts capability. This capability allows the user to configure and manage alert actions within Splunk.

A distributable streaming command would be executed on an indexer if all preceding search commands are executed on the indexer, enhancing search efficiency by processing data where it resides.

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.

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.

One of the best practices in regex is to avoid backtracking, which can degrade performance by revisiting parts of the input multiple times. Optimizing regex patterns to prevent unnecessary backtracking improves efficiency, especially when dealing with large datasets.

When a nested macro expands to a search string that begins with a generating command, square brackets are required to ensure proper interpretation. Square brackets allow the nested macro to be treated as a subsearch or command.

Cascading inputs allow one input's selection to determine the options available in subsequent inputs. An event handler can reset the cascading sequence based on user interactions, ensuring the following inputs reflect appropriate options based on prior selections.

The foreach command applies a processing step to each field in a set of related fields. It allows repetitive operations to be applied to multiple fields in one go, streamlining tasks across several fields.

A tsidx file contains a lexicon (a list of unique terms) and a posting list (references to occurrences of these terms). This structure supports efficient searching and retrieval of data.

A report qualifies for acceleration in Splunk if it involves fewer than 100,000 events in the search results and uses transforming commands. Transforming commands aggregate data, which helps reduce the dataset's size and complexity, making the report suitable for acceleration.

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.