Which of the following is accurate regarding predefined drilldown tokens?
B
Explanation:
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.
Which of the following statements is accurate regarding the append command?
B
Explanation:
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.
What happens to panels with post-processing searches when their base search is refreshed?
C
Explanation:
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.
Which of the following are potential string results returned by the typeof function?
B
Explanation:
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.
Reference:
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
Which search generates a field with a value of "hello"?
C
Explanation:
The correct search to generate a field with a value of "hello" is:
Copy
| 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
Reference:
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
What is one way to troubleshoot dashboards?
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"?
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?
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?
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?
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.