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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.

Comprehensive and Detailed Step by Step Explanation:

Thestreamstatscommand calculates statistics on search resultsas each event is processed, maintaining a running total or other cumulative calculations. Unlikeeventstats, which calculates statistics for the entire dataset at once,streamstatsprocesses events sequentially.

Here’s why this works:

Purpose of streamstats: This command is ideal for calculating cumulative statistics, such as running totals, averages, or counts, as events are returned by the search.

Sequential Processing:streamstatsapplies statistical functions (e.g.,count,sum,avg) incrementally to each event based on the order of the results.

| makeresults count=5

| streamstats count as running_count

This will produce:

_time running_count

------------------- -------------

1

2

3

4

5

Other options explained:

Option B: Incorrect becausefieldsummarygenerates summary statistics for all fields in the dataset, not cumulative statistics.

Option C: Incorrect becauseeventstatscalculates statistics for the entire dataset at once, not incrementally.

Option D: Incorrect becauseappendpipeis used to append additional transformations or calculations to existing results, not for cumulative statistics.

The bin command in Splunk is used to group continuous numerical values into discrete buckets or bins. The span attribute defines the size of each bin, while the bins attribute specifies the number of bins to create.

For example:

spl

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| bin span=10ms bins=5 duration

This command creates 5 bins, each spanning 10 milliseconds, for the duration field.

In Splunk, the is_exact field indicates whether the count of distinct values for a particular field is exact or estimated. A value of:

1 means the count is exact.

0 means the count is an approximation.

Therefore, when is_exact is 0, it signifies that the distinct count of values for that field is an estimate, not an exact count.

Fields like date_minute, date_year, and date_day are common default time fields in Splunk, while date_zone is not typically a default field for time-related data.

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.

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.

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 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.

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.