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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Alerts | 4% | - Logging and indexing searchable alert events - Using alert manager - Understanding alert actions - Referencing alert actions |
| Topic 2: Exploring eval Command Functions | 4% | - Using statistical functions - Using text functions - Using makeresults command - Using informational functions - Using comparison and conditional functions - Using conversion functions |
| Topic 3: Exploring Data Models | 10% | - Creating data models - Using pivot - Understanding data models - Using data model objects |
| Topic 4: Exploring Statistical Commands | 4% | - Using fieldsummary - Using streamstats - Using count and list functions - Using appendpipe - Using eventstats - Performing statistical analysis with stats function |
| Topic 5: Exploring Field Extractions | 10% | - Using field aliases - Creating custom fields - Using the Field Extractor - Using calculated fields |
| Topic 6: Exploring Lookups | 4% | - Understanding best practices for lookups - Using external lookups - Including and excluding events based on lookup values - Using geospatial lookups - Using KV Store lookups - Applying advanced lookup options |
| Topic 7: Exploring Search Optimization | 10% | - Using search optimization techniques - Using tsidx files - Using summary indexing - Using report acceleration |
| Topic 8: Exploring Dashboards and Forms | 15% | - Using event handlers - Using tokens - Creating dashboards using Simple XML - Using dynamic form inputs - Using drilldowns |
| Topic 9: Exploring Splunk's Search Processing Language | 15% | - Using advanced search commands - Using search macros - Using tags and event types - Using transactions - Using workflow actions |
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NEW QUESTION # 47
Which of the following are potential string results returned by the typeof function?
Answer: A
Explanation:
The typeof function in Splunk returns a string representing the data type of the evaluated expression. The possible results include "Number", "String", and "Null".
NEW QUESTION # 48
Which of the following is valid syntax for the split function?
Answer: C
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.
NEW QUESTION # 49
What is one way to troubleshoot dashboards?
Answer: B
Explanation:
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.
NEW QUESTION # 50
Which of the following could be used to build a contextual drilldown?
Answer: D
Explanation:
Comprehensive and Detailed Step by Step Explanation:
To build acontextual drilldownin Splunk dashboards, you can use < set > and < unset > elements with adepend?attribute. These elements allow you to dynamically update tokens based on user interactions, enabling context-sensitive behavior in your dashboard.
Here's why this works:
Contextual Drilldown: A contextual drilldown allows users to click on a visualization (e.g., a chart or table) and navigate to another view or filter data based on the clicked value.
Dynamic Tokens: The < set > element sets a token to a specific value when a condition is met, while < unset
> clears the token when the condition is no longer valid. Thedepend?attribute ensures that the behavior is conditional and context-aware.
Example:
< drilldown >
< set token= " selected_product " > $click.value$ < /set >
< unset token= " selected_product " depend= " ? " > < /unset >
< /drilldown >
In this example:
When a user clicks on a value, theselected_producttoken is set to the clicked value ($click.value$).
If the condition specified independ?is no longer true, the token is cleared using < unset > .
Other options explained:
Option B: Incorrect because$earliest$and$latest$tokens are related to time range pickers, not contextual drilldowns.
Option C: Incorrect because < reset > is not a valid element in Splunk XML, andrejectsis unrelated to drilldown behavior.
Option D: Incorrect because < offset > is not used for building drilldowns, anddepends/rejectsdo not apply in this context.
References:
Splunk Documentation on Drilldowns:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/DrilldownIntro
Splunk Documentation on Tokens:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/UseTokenstoBuildDynamicInputs
NEW QUESTION # 51
Which of the following elements should be configured when creating a log event from an alert action?
Answer: D
Explanation:
When you configure a " Log event " alert action in Splunk, you are setting up a custom log entry to be generated and written back into your Splunk deployment for indexing. To successfully rout and categorize this newly generated event, the Splunk Web configuration interface prompts you for several key default field settings:
index: Determines the destination index repository where the logged alert event data will be sent and stored.
source: Sets the specific provenance marker for the log (by default, it uses the alert name format).
sourcetype: Dictates the data format classification, which tells Splunk how to format and parse the event data during search time
NEW QUESTION # 52
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