Splunk SPLK-1004 Practice Test - Questions Answers, Page 3

Predefined drilldown tokens in Splunk vary by visualization type (Option B). 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. The specific tokens available and their meanings can differ depending on the type of visualization, as each visualization type may present and interact with data differently.

The append command in Splunk is often used with a subsearch to add additional data to the end of the primary search results, and it can access historical data (Option B). This capability is useful for combining datasets from different time ranges or sources, enriching the primary search results with supplementary information.

When the base search of a dashboard panel with post-processing searches is refreshed, the panels with these post-processing searches are refreshed automatically (Option C). Post-processing searches inherit the scope and results of the base search, and when the base search is updated or rerun, the post-processed results are recalculated to reflect the latest data.

The typeof function in Splunk returns a string that represents the data type of the evaluated expression. The potential string results include 'Number', 'String', and 'Null' (Option C). These indicate whether the evaluated expression is a numerical value, a string, or a null value, respectively, helping users understand the data types they are working with in their searches and scripts.

To generate a field with a value of 'hello' using the makeresults command in Splunk, the correct syntax is | makeresults | eval field='hello' (Option C). The makeresults command creates a single event, and the eval command is used to add a new field (named 'field' in this case) with the specified value ('hello'). This is a common method for creating sample data or for demonstration purposes within Splunk searches.

To troubleshoot dashboards in Splunk, one effective approach is to go to the Troubleshooting dashboard of the Search & Reporting app (Option B). This dashboard provides insights into the performance and potential issues of other dashboards and searches, offering a centralized place to diagnose and address problems. This method allows for a structured approach to troubleshooting, leveraging built-in tools and reports to identify and resolve issues.

To treat a multivalue field product='a, b, c, d' in Splunk, the correct command is ... | makemv delim=',' product (Option D). The makemv command with the delim argument specifies the delimiter (in this case, a comma) to split the field values into a multivalue field. This allows for easier manipulation and analysis of each value within the product field as separate entities.

To disable the inspect button on a dashboard panel in Splunk, you can set the link.inspect.visible attribute to 0 (Option B) in the panel's source code. This attribute controls the visibility of the inspect button, and setting it to 0 hides the button, preventing users from accessing the search inspector for that panel.

The valid syntax for using the split function in Splunk is ... | eval areaCodes = split(phoneNumber, '_') (Option B). The split function divides a string into an array of substrings based on a specified delimiter, in this case, an underscore. The resulting array is stored in the new field areaCodes.