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Splunk SPLK-1004 Practice Test - Questions Answers, Page 2
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Question 11
Which of the following is accurate regarding predefined drilldown tokens?
They capture data from a form input.
They vary by visualization type.
There are eight categories of predefined drilldown tokens.
They are defined by a panel's base search.
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.
Question 12
Which of the following statements is accurate regarding the append command?
It is used with a subsearch and only accesses real-time searches.
It is used with a subsearch and only accesses historical data.
It cannot be used with a subsearch and only accesses historical data.
It cannot be used with a subsearch and only accesses real-time searches.
The append command in Splunk is used with a subsearch to add additional data to the end of the primary search results and can access historical data, making it useful for combining datasets from different time ranges or sources.
Question 13
What happens to panels with post-processing searches when their base search is refreshed?
The panels are deleted.
The panels are only refreshed if they have also been configured.
The panels are refreshed automatically.
Nothing happens to the panels.
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.
Question 14
Which of the following are potential string results returned by the typeof function?
True, False, Unknown
Number, String, Bool
Number, String, Null
Field, Value, Lookup
The typeof function in Splunk is used to determine the data type of a field or value. It returns one of the following string results:
Number : Indicates that the value is numeric.
String : Indicates that the value is a text string.
Bool : Indicates that the value is a Boolean (true/false).
Here's why this works:
Purpose of typeof : The typeof function is commonly used in conjunction with the eval command to inspect the data type of fields or expressions. This is particularly useful when debugging or ensuring that fields are being processed as expected.
Return Values : The function categorizes values into one of the three primary data types supported by Splunk: Number, String, or Bool.
Example:
| makeresults
| eval example_field = '123'
| eval type = typeof(example_field)
This will produce:
_time example_field type
------------------- -------------- ------
<current_timestamp> 123 String
Other options explained:
Option A : Incorrect because True, False, and Unknown are not valid return values of the typeof function. These might be confused with Boolean logic but are not related to data type identification.
Option C : Incorrect because Null is not a valid return value of typeof. Instead, Null represents the absence of a value, not a data type.
Option D : Incorrect because Field, Value, and Lookup are unrelated to the typeof function. These terms describe components of Splunk searches, not data types.
Splunk Documentation on typeof: https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/CommonEvalFunctions
Splunk Documentation on Data Types: https://docs.splunk.com/Documentation/Splunk/latest/Search/Aboutfields
Question 15
Which search generates a field with a value of 'hello'?
| makeresults field='hello'
| makeresults | fields='hello'
| makeresults | eval field='hello'
| makeresults | eval field=make{'hello'}
The correct search to generate a field with a value of 'hello' is:
Copy
1
| makeresults | eval field='hello'
Here's why this works:
makeresults : This command creates a single event with no fields.
eval : The eval command is used to create or modify fields. In this case, it creates a new field named field and assigns it the value 'hello'.
Example:
| makeresults
| eval field='hello'
This will produce a result like:
_time field
------------------- -----
<current_timestamp> hello
Splunk Documentation on makeresults: https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/Makeresults
Splunk Documentation on eval: https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/Eval
Question 16
What is one way to troubleshoot dashboards?
Create an HTML panel using tokens to verify that they are being set.
Delete the dashboard and start over.
Go to the Troubleshooting dashboard of the Searching and Reporting app.
Run the previous_searches command to troubleshoot your SPL queries.
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.
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
Question 17
How is a multivalue field treated from product='a, b, c, d'?
... | makemv delim{product, ','}
... | eval mvexpand{makemv{product, ','}}
... | mvexpand product
... | makemv delim=',' product
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.
Question 18
How can the inspect button be disabled on a dashboard panel?
Set inspect.link.disabled to 1
Set link.inspect.visible to 0
Set link.inspectSearch.visible to 0
Set link.search.disabled to 1
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.
Question 19
Which of the following is valid syntax for the split function?
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Question 20
Which field is required for an event annotation?
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