SPLK-1004 Exam Dumps - Splunk Core Certified Advanced Power User Exam

The four types ofevent actionsin Splunk are:

eval: Allows you to create or modify fields using expressions.

link: Creates clickable links that can redirect users to external resources or other Splunk views.

change: Triggers actions when a field's value changes, such as highlighting or formatting changes.

clear: Clears or resets specific fields or settings in the context of an event action.

Here’s why this works:

These event actions are commonly used in Splunk dashboards and visualizations to enhance interactivity and provide dynamic behavior based on user input or data changes.

Other options explained:

Option A: Incorrect becausestatsandtargetare not valid event actions.

Option B: Incorrect becausesetandunsetare not valid event actions.

Option D: Incorrect becausestatsandtargetare not valid event actions.

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 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 correct XML hierarchy for a dashboard panel is . The element contains rows, and within each , there are panels that hold visualizations or searches.

In Splunk's Simple XML, certain attributes are specific to the

Predefined drilldown tokens in Splunk vary by visualization type. These tokens are placeholders that capture dynamic values based on user interactions with dashboard elements, such as clicking on a chart segment or table row. Different visualization types may have different drilldown tokens.

The makemv command with delim="," is used to split a multivalue field like product="a, b, c, d" into separate values, making it easier to manipulate each value individually.

The tstats command in Splunk is optimized for performance and has specific limitations regarding the use of wildcards.

According to Splunk Documentation:

"The tstats command does not support wildcard characters in field values in aggregate functions or BY clauses."

"You can use wildcards in the where clause to filter results."

This means that while wildcards are not permitted in the by or from clauses, they can be effectively used within the where clause to filter data based on pattern matching.