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| Section | Weight | Objectives |
|---|
| Search Optimization and Performance | 15% | - Writing efficient SPL
- 1. Best practices, reducing search time, avoiding common mistakes
- Using commands for optimization
- 1. tstats, highcharts, summary indexing
|
| Alerts and Monitoring | 10% | - Alert management and logging - Alert configuration
- 1. Trigger conditions, scheduling, actions, throttling
|
| Advanced Searching and Reporting | 20% | - Result modification commands
- 1. sort, rename, replace, fields, dedup, head, tail
- eval command and functions
- 1. Conversion, mathematical, string, date/time, conditional functions
- Statistical commands
- 1. stats, eventstats, streamstats, timechart
- Comparison and correlation
- 1. Comparing values, joins, transactions, correlation searches
|
| Dashboards, Forms, and Visualizations | 20% | - Dynamic dashboards and forms
- 1. Tokens, inputs, dynamic drilldown, conditional rendering
- Advanced visualizations
- 1. Custom visualizations, formatting, and layout
- Dashboard design best practices
|
| Knowledge Objects | 20% | - Tags and event types - Macros and workflow actions - Fields and field extractions
- 1. Automatic, inline, and configured extractions; field aliases; calculated fields
- Data models and Pivot
- 1. Designing data models, using Pivot for analysis
|
| Lookups and Data Enrichment | 15% | - Lookup types
- 1. File-based, KV Store, external, geospatial lookups
- Subsearches and advanced lookup use cases - Lookup management
- 1. Creating, editing, managing, and optimizing lookups
|
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Splunk Core Certified Advanced Power User Sample Questions (Q46-Q51):
NEW QUESTION # 46
Which function of the stats command creates a multivalue entry?
- A. eval
- B. makemv
- C. mvcombine
- D. list
Answer: D
Explanation:
The list function of the stats command creates a multivalue entry, combining multiple occurrences of a field into a single multivalue field.
Thelistfunction of thestatscommand creates amultivalue entryby aggregating values from multiple events into a single field. This is particularly useful when you want to group data and collect all matching values into a list.
Here's why this works:
* Purpose of list: Thelistfunction collects all values of a specified field for each group and stores them as a multivalue field. For example, if you group byuser_id, thelistfunction will create a multivalue field containing all correspondingproductvalues for that user.
* Multivalue Fields: Multivalue fields allow you to handle multiple values within a single field, which can be expanded or manipulated using commands likemvexpandorforeach.
References:
Splunk Documentation onstats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/stats Splunk Documentation on Multivalue Fields:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/MultivalueEvalFunctions
NEW QUESTION # 47
Which of the following would exclude all entries contained in the lookup file baditems. csv from search results?
- A. NOT (lookup baditems.csv OUTPUT item)
- B. [NOT inputlookup baditems.csv]
- C. WHERE item NOT IN (baditems.csv)
- D. NOT [inputlookup baditems.csv]
Answer: D
Explanation:
The correct syntax to exclude all entries contained in the lookup file baditems.csv from search results is NOT
[inputlookup baditems.csv]. This syntax uses a subsearch with the inputlookup command to retrieve the contents of the baditems.csv lookup file and then uses the NOT operator to exclude those results from the main search. This approach is efficient for filtering out unwanted data based on a predefined list of criteria stored in a lookup file.
NEW QUESTION # 48
Which of the following cannot be accomplished with a webhook alert action?
- A. Post a notification on a web page
- B. Create a ticket in a support app
- C. Retrieve data from a web page
- D. Post a message in a chatroom
Answer: C
Explanation:
Comprehensive and Detailed Step by Step Explanation:
A webhook in Splunk is designed to send HTTP POST requests to a specified URL when an alert is triggered.
This mechanism allows Splunk to communicate with external systems by pushing data to them.Common use cases for webhooks include:
* Creating a ticket in a support application:By sending a POST request to the support application's API endpoint with the necessary details, a new ticket can be created automatically.
* Posting a notification on a web page:If the web page has an API that accepts POST requests, Splunk can send data to it, resulting in a notification being displayed.
* Posting a message in a chatroom:Many chat platforms offer webhook integrations where POST requests can send messages to specific channels or chatrooms.
However,retrieving data from a web pageis not within the capabilities of a webhook. Webhooks are designed for outbound communication (sending data) and do not handle inbound requests or data retrieval. To fetch or retrieve data from external sources, other methods such as scripted inputs or custom scripts would be required.
Reference:
Splunk Documentation: Set up alert actions
NEW QUESTION # 49
What is one way to troubleshoot dashboards?
- A. Create an HTML panel using tokens to verify that they are set.
- B. Run the | previous_searches command to your SPL queries.
- C. Go to the Troubleshooting dashboard of the Searching and Reporting app.
- D. Delete the dashboard and start over.
Answer: A
Explanation:
When troubleshooting dashboards in Splunk, it's essential to verify that tokens are being set and passed correctly, especially when using dynamic inputs. Creating an HTML panel that displays token values can help confirm that tokens are populated as expected.
For example, you can add a panel with the following Simple XML to display token values:
xml
Copy
<panel>
<html>
<p>Token value: $your_token$</p>
</html>
</panel>
This approach allows you to see the current value of your_token directly on the dashboard, aiding in debugging issues related to token usage.
Reference:Master Splunk Dashboards: Expert Guide to Troubleshooting Tokens!
NEW QUESTION # 50
Which element attribute is required for event annotation?
- A. <search style="annotation">
- B. <search type="annotation">
- C. <search type=$annotation$>
- D. <search type="event_annotation">
Answer: B
Explanation:
In Splunk dashboards, event annotations are used to add informative overlays on timeline visualizations to mark significant events. The required element attribute to define an event annotation within a dashboard panel is <search type="annotation"> (Option D). This attribute specifies that the search within this element is intended to generate annotations, which are then overlaid on the timeline based on the time and information provided by the search results.
NEW QUESTION # 51
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