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Splunk Core Certified Advanced Power User Sample Questions (Q88-Q93):

NEW QUESTION # 88
What does the query | makeresults generate?

A. A timestamp
B. An error message
C. The results of the previously run search.
D. A results field

Answer: D

Explanation:
The | makeresults command in Splunk generates a single event containing default fields, with theprimary purpose of creating sample data or a placeholder event for testing and development purposes. The most notable field it generates is _time, but it does not create a specific 'results' field per se. However, it's commonly used to create a base event for further manipulation with eval or other commands in search queries for demonstration, testing, or constructing specific scenarios.

NEW QUESTION # 89
What are the four types of event actions?

A. eval, link, set, and unset
B. stats, target, set, and unset
C. stats, target, change, and clear
D. eval, link, change, and clear

Answer: D

Explanation:
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.
References:
Splunk Documentation on Event Actions:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/EventActions
Splunk Documentation on Dashboard Interactivity:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/PanelreferenceforSimplifiedXML

NEW QUESTION # 90
Assuming a standard time zone across the environment, what syntax will always return events from between 2:
00 AM and 5:00 AM?

A. time_hour>-2 AND time_hour>-5
B. earliest=-2h@h AND latest=-5h@h
C. datehour>-2 AND date_hour<5
D. earliest=2h@ AND latest=5h3h

Answer: B

Explanation:
The correct syntax to return events from between 2:00 AM and 5:00 AM is earliest=-2h@h AND latest=-
5h@h. This uses relative time modifiers to specify a range starting at 2 AM and ending at 5 AM.

NEW QUESTION # 91
How is a cascading input used?

A. As part of a dashboard, but not in a form.
B. As a default way to delete a user role.
C. Without notation in the underlying XML.
D. As a way to filter other input selections.

Answer: D

Explanation:
A cascading input is used to filter other input selections in a dashboard or form, allowing for a dynamic user interface where one input influences the options available in another input.
Cascading Inputs:
* Definition:Cascading inputs are interconnected input controls in a dashboard where the selection in one input filters the options available in another. This creates a hierarchical selection process, enhancing user experience by presenting relevant choices based on prior selections.
Implementation:
* Define Input Controls:
* Create multiple input controls (e.g., dropdowns) in the dashboard.
* Set Token Dependencies:
* Configure each input to set a token upon selection.
* Subsequent inputs use these tokens to filter their available options.
Example:
Consider a dashboard analyzing sales data:
* Input 1:Country Selection
* Dropdown listing countries.
* Sets a token $country$ upon selection.
* Input 2:City Selection
* Dropdown listing cities.
* Uses the $country$ token to display only cities within the selected country.
XML Configuration:
<input type="dropdown" token="country">
<label>Select Country</label>
<choice value="USA">USA</choice>
<choice value="Canada">Canada</choice>
</input>
<input type="dropdown" token="city">
<label>Select City</label>
<search>
<query>index=sales_data country=$country$ | stats count by city</query>
</search>
</input>
In this setup:
* Selecting a country sets the $country$ token.
* The city dropdown's search uses this token to display cities relevant to the selected country.
Benefits:
* Improved User Experience:Users are guided through a logical selection process, reducing the chance of invalid or irrelevant selections.
* Data Relevance:Ensures that dashboard panels and visualizations reflect data pertinent to the user's selections.
Other Options Analysis:
B:As part of a dashboard, but not in a form:
* Explanation:Cascading inputs are typically used within forms in dashboards to collect user input. This option is incorrect as it suggests a limitation that doesn't exist.
C:Without token notation in the underlying XML:
* Explanation:Cascading inputs rely on tokens to pass values between inputs. Therefore, token notation is essential in the XML configuration.
D:As a default way to delete a user role:
* Explanation:This is unrelated to the concept of cascading inputs.
Conclusion:
Cascading inputs are used in dashboards to create a dependent relationship between input controls, allowing selections in one input to filter the options available in another, thereby enhancing data relevance and user experience.

NEW QUESTION # 92
When a user opens a dataset in Pivot that has not been accelerated, an ad hoc data model acceleration is created. How long does this accelerated data model last?

A. For 7 days after Pivot was opened
B. For 24 hours after Pivot was opened
C. For the time specified by a Splunk administrator in limits.conf
D. For the duration of the user's Pivot session

Answer: D

Explanation:
In Splunk, when a user accesses a dataset in Pivot that lacks persistent acceleration, Splunk automatically creates anad hoc data model acceleration. This temporary acceleration is designed to enhance performance during the user's current session.
According to Splunk Documentation:
"Ad hoc summaries are always created in a dispatch directory at the search head."
"These summaries are temporary and exist only for the duration of the user's Pivot session." This means that the accelerated data model persists only while the user is actively engaged in the Pivot session. Once the session ends, the ad hoc acceleration is discarded.
Reference:Accelerate data models - Splunk Documentation

NEW QUESTION # 93
......

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Splunk Core Certified Advanced Power User Sample Questions (Q88-Q93):

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