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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Statistical Commands | 4% | - Using count and list functions - Using streamstats - Performing statistical analysis with stats function - Using eventstats - Using fieldsummary - Using appendpipe |
| Topic 2: Exploring Lookups | 4% | - Using external lookups - Understanding best practices for lookups - Using KV Store lookups - Applying advanced lookup options - Using geospatial lookups - Including and excluding events based on lookup values |
| Topic 3: Exploring Dashboards and Forms | 15% | - Using event handlers - Creating dashboards using Simple XML - Using tokens - Using dynamic form inputs - Using drilldowns |
| Topic 4: Exploring Search Optimization | 10% | - Using tsidx files - Using summary indexing - Using search optimization techniques - Using report acceleration |
| Topic 5: Exploring eval Command Functions | 4% | - Using text functions - Using makeresults command - Using statistical functions - Using informational functions - Using conversion functions - Using comparison and conditional functions |
| Topic 6: Exploring Field Extractions | 10% | - Using calculated fields - Using field aliases - Creating custom fields - Using the Field Extractor |
| Topic 7: Exploring Data Models | 10% | - Using data model objects - Creating data models - Understanding data models - Using pivot |
| Topic 8: Exploring Alerts | 4% | - Logging and indexing searchable alert events - Using alert manager - Understanding alert actions - Referencing alert actions |
| Topic 9: Exploring Splunk's Search Processing Language | 15% | - Using transactions - Using tags and event types - Using search macros - Using advanced search commands - Using workflow actions |
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NEW QUESTION # 92
Which of the following could be used to build a contextual drilldown?
Answer: B
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 # 93
What is the value of base lispy in the Search Job Inspector for the search index=sales clientip=170.192.178.10?
Answer: B
Explanation:
The base lispy expression represents how Splunk parses and simplifies a search command. In this case, the lispy format shows how Splunk is breaking down the search terms to effectively perform the search.
NEW QUESTION # 94
When using a nested search macro, how can an argument value be passed to the inner macro?
Answer: A
Explanation:
When using a nested search macro in Splunk, an argument value can be passed to the inner macro by specifying the argument in the outer macro's invocation (Option A). This allows the outer macro to accept arguments from the user or another search command and then pass those arguments into the inner macro, enabling dynamic and flexible macro compositions that can adapt based on input parameters.
NEW QUESTION # 95
How is regex passed to the makemv command?
Answer: B
Explanation:
The regex is passed to the makemv command in Splunk using the delim argument (Option B). This argument specifies the delimiter used to split a single string field into multiple values, effectively creating a multivalue field from a field that contains delimited data.
NEW QUESTION # 96
Which of the following has a schema or structure embedded in the data itself?
Answer: A
Explanation:
Self-describing data (Option D) refers to data that includes information about its own structure or schema within the data itself. This characteristic makes it easier to understand and process the data because the structure and meaning of the data are embedded with the data, reducing the need for external definitions or mappings. Examples of self-describing data formats include JSON and XML, where elements and attributes describe the data they contain.
NEW QUESTION # 97
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