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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Field Extractions | 10% | - Using the Field Extractor - Using field aliases - Using calculated fields - Creating custom fields |
| Topic 2: Exploring Data Models | 10% | - Creating data models - Understanding data models - Using pivot - Using data model objects |
| Topic 3: Exploring eval Command Functions | 4% | - Using text functions - Using makeresults command - Using comparison and conditional functions - Using conversion functions - Using informational functions - Using statistical functions |
| Topic 4: Exploring Dashboards and Forms | 15% | - Using event handlers - Creating dashboards using Simple XML - Using drilldowns - Using tokens - Using dynamic form inputs |
| Topic 5: Exploring Search Optimization | 10% | - Using summary indexing - Using tsidx files - Using report acceleration - Using search optimization techniques |
| Topic 6: Exploring Splunk's Search Processing Language | 15% | - Using transactions - Using search macros - Using advanced search commands - Using tags and event types - Using workflow actions |
| Topic 7: Exploring Statistical Commands | 4% | - Using appendpipe - Using count and list functions - Using streamstats - Using eventstats - Performing statistical analysis with stats function - Using fieldsummary |
| Topic 8: Exploring Alerts | 4% | - Referencing alert actions - Using alert manager - Understanding alert actions - Logging and indexing searchable alert events |
| Topic 9: Exploring Lookups | 4% | - Using external lookups - Using geospatial lookups - Including and excluding events based on lookup values - Using KV Store lookups - Understanding best practices for lookups - Applying advanced lookup options |
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NEW QUESTION # 12
How is a cascading input used?
Answer: C
Explanation:
A cascading input is used to filter other input selections in a dashboard or form, allowing for a dynamic user interface where one input influences the options available in another input.
Cascading Inputs:
Definition:Cascading inputs are interconnected input controls in a dashboard where the selection in one input filters the options available in another. This creates a hierarchical selection process, enhancing user experience by presenting relevant choices based on prior selections.
Implementation:
Define Input Controls:
Create multiple input controls (e.g., dropdowns) in the dashboard.
Set Token Dependencies:
Configure each input to set a token upon selection.
Subsequent inputs use these tokens to filter their available options.
Example:
Consider a dashboard analyzing sales data:
Input 1:Country Selection
Dropdown listing countries.
Sets a token $country$ upon selection.
Input 2:City Selection
Dropdown listing cities.
Uses the $country$ token to display only cities within the selected country.
XML Configuration:
< input type= " dropdown " token= " country " >
< label > Select Country < /label >
< choice value= " USA " > USA < /choice >
< choice value= " Canada " > Canada < /choice >
< /input >
< input type= " dropdown " token= " city " >
< label > Select City < /label >
< search >
< query > index=sales_data country=$country$ | stats count by city < /query >
< /search >
< /input >
In this setup:
Selecting a country sets the $country$ token.
The city dropdown ' s search uses this token to display cities relevant to the selected country.
Benefits:
Improved User Experience:Users are guided through a logical selection process, reducing the chance of invalid or irrelevant selections.
Data Relevance:Ensures that dashboard panels and visualizations reflect data pertinent to the user ' s selections.
Other Options Analysis:
B).As part of a dashboard, but not in a form:
Cascading inputs are typically used within forms in dashboards to collect user input. This option is incorrect as it suggests a limitation that doesn ' t exist.
C).Without token notation in the underlying XML:
Cascading inputs rely on tokens to pass values between inputs. Therefore, token notation is essential in the XML configuration.
D).As a default way to delete a user role:
This is unrelated to the concept of cascading inputs.
Conclusion:
Cascading inputs are used in dashboards to create a dependent relationship between input controls, allowing selections in one input to filter the options available in another, thereby enhancing data relevance and user experience.
Reference:
Splunk Documentation: Set up cascading or dependent inputs
NEW QUESTION # 13
When working with an accelerated data model acc_datmodel and an unaccelerated data model unacc_datmodel, what tstats query could be used to search one of these data models?
Answer: C
Explanation:
The tstats command in Splunk is optimized for performance and is typically used with accelerated data models. The summariesonly parameter determines whether the search should use only the summarized (accelerated) data or fall back to raw data if necessary.
* Setting summariesonly=false allows the search to use both summarized and raw data, making it suitable for both accelerated and unaccelerated data models.
* Setting summariesonly=true restricts the search to only summarized data, which would result in no data returned if the data model is not accelerated.
Therefore, to search an accelerated data model and allow fallback to raw data if needed, the correct query is:
| tstats count from datamodel=acc_datmodel summariesonly=false
References:
tstats - Splunk Documentation
NEW QUESTION # 14
What does the query | makeresults generate?
Answer: A
Explanation:
The | makeresults command generates a single event containing default fields, such as _time. It's mainly used to create sample data or placeholder events for testing purposes. The primary field it generates is _time, but the command is used to generate a base event that can be manipulated further.
NEW QUESTION # 15
How can form inputs impact dashboard panels using inline searches?
Answer: A
Explanation:
Form inputs in Splunk dashboards allow users to dynamically interact with the data displayed in panels. When a panel uses an inline search, you can use tokens to replace parts of the search query with values provided by form inputs.
Here's how this works:
* Tokens: Tokens are placeholders in a search query that can be dynamically replaced with user-provided values from form inputs (e.g., dropdowns, text boxes).
* Dynamic Searches: When a user interacts with a form input, the token value is updated, and the search query is re-executed with the new value.
* Inline Searches: Inline searches are defined directly within the panel's XML or configuration, and they can include tokens to make them dynamic.
For example:
<input type="dropdown" token="selected_product">
<label>Select Product</label>
<choice value="productA">Product A</choice>
<choice value="productB">Product B</choice>
</input>
<panel>
<title>Sales for $selected_product$</title>
<table>
<search>
<query>index=sales product="$selected_product$" | stats count by region</query>
</search>
</table>
</panel>
Other options explained:
* Option A: Incorrect because form inputs can indeed impact panels using inline searches.
* Option B: Incorrect because adding a form input does not automatically convert panels to prebuilt panels.
* Option D: Incorrect because panels using inline searches do not require a minimum of one form input.
References:
* Splunk Documentation on Tokens:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/UseTokenstoBuildDynamicInputs
* Splunk Documentation on Inline Searches:https://docs.splunk.com/Documentation/Splunk/latest/Viz
/PanelreferenceforSimplifiedXML
NEW QUESTION # 16
What does using the tstats command with summariesonly=false do?
Answer: A
Explanation:
Setting summariesonly=false in the tstats command retrieves results from both summarized (accelerated) and non-summarized (raw) data, allowing a more comprehensive analysis of both types of data in the same query.
NEW QUESTION # 17
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