Splunk SPLK-1004 Exam
Splunk Core Certified Advanced Power User (Page 8 )

Updated On: 7-Feb-2026

What is one way to troubleshoot dashboards?

  1. Create an HTML panel using tokens to verify that they are being set.
  2. Delete the dashboard and start over.
  3. Go to the Troubleshooting dashboard of the Searching and Reporting app.
  4. Run the previous_searches command to troubleshoot your SPL queries.

Answer(s): A

Explanation:

Comprehensive and Detailed Step by Step
One effective way to troubleshoot dashboards in Splunk is to create an HTML panel using tokens to verify that tokens are being set correctly. This allows you to debug token values and ensure that dynamic behavior (e.g., drilldowns, filters) is functioning as expected.
Here's why this works:
HTML Panels for Debugging : By embedding an HTML panel in your dashboard, you can display the current values of tokens dynamically. For example:

<html>
Token value: $token_name$
</html>

This helps you confirm whether tokens are being updated correctly based on user interactions or other inputs.
Token Verification : Tokens are essential for dynamic dashboards, and verifying their values is a critical step in troubleshooting issues like broken drilldowns or incorrect filters.
Other options explained:
Option B : Incorrect because deleting and recreating a dashboard is not a practical or efficient troubleshooting method.
Option C : Incorrect because there is no specific "Troubleshooting dashboard" in the Searching and Reporting app.
Option D : Incorrect because the previous_searches command is unrelated to dashboard troubleshooting; it lists recently executed searches.


Reference:

Splunk Documentation on Dashboard Troubleshooting:
https://docs.splunk.com/Documentation/Splunk/latest/Viz/Troubleshootdashboards Splunk Documentation on Tokens:
https://docs.splunk.com/Documentation/Splunk/latest/Viz/UseTokenstoBuildDynamicInputs



How is a multivalue field treated from product="a, b, c, d"?

  1. ... | makemv delim{product, ","}
  2. ... | eval mvexpand{makemv{product, ","}}
  3. ... | mvexpand product
  4. ... | makemv delim="," product

Answer(s): D

Explanation:

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.



How can the inspect button be disabled on a dashboard panel?

  1. Set inspect.link.disabled to 1
  2. Set link.inspect.visible to 0
  3. Set link.inspectSearch.visible to 0
  4. Set link.search.disabled to 1

Answer(s): B

Explanation:

To disable the inspect button on a dashboard panel, set the link.inspect.visible attribute to 0. This hides the button, preventing users from accessing the search inspector for that panel.

To disable the Inspect button on a dashboard panel in Splunk, you need to set the attribute link.inspect.visible to 0. This hides the Inspect button for that specific panel.
Here's why this works:
Purpose of link.inspect.visible : The link.inspect.visible attribute controls the visibility of the Inspect button in a dashboard panel. Setting it to 0 disables the button, while setting it to 1 (default) keeps it visible.
Customization : This is useful when you want to restrict users from inspecting the underlying search queries or data for a specific panel.



Which of the following is valid syntax for the split function?

  1. ... | eval split phoneNumber by "" as areaCodes.
  2. ... | eval areaCodes = split(phoneNumber, "")
  3. ... | eval phoneNumber split("-", 3, areaCodes)
  4. ... | eval split(phone-Number, "_", areaCodes)

Answer(s): B

Explanation:

The valid syntax for using the split function in Splunk is ... | eval areaCodes = split(phoneNumber, "_"). This function splits the string based on the specified delimiter, creating an array of substrings.



Which field is required for an event annotation?

  1. annotation_category
  2. _time
  3. eventtype
  4. annotation_label

Answer(s): B

Explanation:

The _time field is required for event annotations in Splunk. This field specifies the time point or range where the annotation should be applied, helping correlate annotations with the correct temporal data.






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