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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Dashboards and Forms | 15% | - Using dynamic form inputs - Creating dashboards using Simple XML - Using event handlers - Using tokens - Using drilldowns |
| Topic 2: Exploring Field Extractions | 10% | - Using field aliases - Using calculated fields - Using the Field Extractor - Creating custom fields |
| Topic 3: Exploring Alerts | 4% | - Using alert manager - Logging and indexing searchable alert events - Referencing alert actions - Understanding alert actions |
| Topic 4: Exploring Data Models | 10% | - Using pivot - Creating data models - Using data model objects - Understanding data models |
| Topic 5: Exploring Search Optimization | 10% | - Using tsidx files - Using report acceleration - Using summary indexing - Using search optimization techniques |
| Topic 6: Exploring Splunk's Search Processing Language | 15% | - Using advanced search commands - Using tags and event types - Using workflow actions - Using search macros - Using transactions |
| Topic 7: Exploring Lookups | 4% | - Including and excluding events based on lookup values - Applying advanced lookup options - Using geospatial lookups - Using external lookups - Understanding best practices for lookups - Using KV Store lookups |
| Topic 8: Exploring Statistical Commands | 4% | - Using eventstats - Performing statistical analysis with stats function - Using fieldsummary - Using appendpipe - Using count and list functions - Using streamstats |
| Topic 9: Exploring eval Command Functions | 4% | - Using comparison and conditional functions - Using makeresults command - Using informational functions - Using statistical functions - Using conversion functions - Using text functions |
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NEW QUESTION # 59
If a search contains a subsearch, what is the order of execution?
Answer: C
Explanation:
In a Splunk search containing a subsearch, the inner subsearch executes first. The result of the subsearch is then passed to the outer search, which often depends on the results of the inner subsearch to complete its execution.
References:
* Splunk Documentation on Subsearches:https://docs.splunk.com/Documentation/Splunk/latest/Search
/Aboutsubsearches
* Splunk Documentation on Search Syntax:https://docs.splunk.com/Documentation/Splunk/latest/Search
/Usefieldsinsearches
NEW QUESTION # 60
Repeating JSON data structures within one event will be extracted as what type of fields?
Answer: B
Explanation:
When Splunk encounters repeating JSON data structures in an event, they are extracted as multivalue fields.
These allow multiple values to be stored under a single field, which is common with arrays in JSON data.
When Splunk extracts repeating JSON data structures within a single event, it represents them asmultivalue fields. A multivalue field is a field that contains multiple values, which can be iterated over or expanded using commands likemvexpandorforeach.
Here's why this works:
* JSON Data Extraction: Splunk automatically parses JSON data into fields. If a JSON key has an array of values (e.g.,"products": ["productA", "productB", "productC"]), Splunk creates a multivalue field for that key.
* Multivalue Fields: These fields allow you to handle multiple values for the same key within a single event. For example, if the JSON keyproductscontains an array of product names, Splunk will store all the values in a single multivalue field namedproducts.
{
"event": "purchase",
"products": ["productA", "productB", "productC"]
}
References:
* Splunk Documentation on JSON Data Extraction:https://docs.splunk.com/Documentation/Splunk/latest
/Data/ExtractfieldsfromJSON
* Splunk Documentation on Multivalue Fields:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/MultivalueEvalFunctions
NEW QUESTION # 61
Which of the following cannot be accomplished with a webhook alert action?
Answer: A
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.
NEW QUESTION # 62
What is the default time limit for a subsearch to complete?
Answer: C
Explanation:
The default time limit for a subsearch to complete in Splunk is60 seconds. If the subsearch exceeds this time limit, it will terminate, and the outer search may fail or produce incomplete results.
Here's why this works:
* Subsearch Timeout: Subsearches are designed to execute quickly and provide results to the outer search. To prevent performance issues, Splunk imposes a default timeout of 60 seconds.
* Configuration: The timeout can be adjusted using thesubsearch_maxoutandsubsearch_timeout settings inlimits.conf, but the default remains 60 seconds.
Other options explained:
* Option A: Incorrect because 10 minutes (600 seconds) is far longer than the default timeout.
* Option B: Incorrect because 120 seconds is double the default timeout.
* Option C: Incorrect because 5 minutes (300 seconds) is also longer than the default timeout.
Example: If a subsearch takes longer than 60 seconds to complete, you might see an error like:
Error in 'search': Subsearch exceeded configured timeout.
References:
Splunk Documentation on Subsearches:https://docs.splunk.com/Documentation/Splunk/latest/Search
/Aboutsubsearches
Splunk Documentation onlimits.conf:https://docs.splunk.com/Documentation/Splunk/latest/Admin/Limitsconf
NEW QUESTION # 63
Which of the following is true about themultikvcommand?
Answer: B
Explanation:
Comprehensive and Detailed Step by Step Explanation:Themultikvcommand in Splunk is used to extract fields fromtable-like events(e.g., logs with rows and columns). It creates a separate event for each row in the table, making it easier to analyze structured data.
Here's why this works:
* Purpose of multikv: Themultikvcommand parses table-formatted events and treats each row as an individual event. This allows you to work with structured data as if it were regular Splunk events.
* Field Extraction: By default,multikvextracts field names from the header row of the table and assigns them to the corresponding values in each row.
* Row-Based Events: Each row in the table becomes a separate event, enabling you to search and filter based on the extracted fields.
Example: Suppose you have a log with the following structure:
Name Age Location
Alice 30 New York
Bob 25 Los Angeles
Using themultikvcommand:
| multikv
This will create two events:
Event 1: Name=Alice, Age=30, Location=New York
Event 2: Name=Bob, Age=25, Location=Los Angeles
Other options explained:
* Option A: Incorrect becausemultikvderives field names from the header row, not the last column.
* Option B: Incorrect becausemultikvcreates events for rows, not columns.
* Option C: Incorrect becausemultikvdoes not require field names to be in ALL CAPS, regardless of the multitablesetting.
References:
* Splunk Documentation onmultikv:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/Multikv
* Splunk Documentation on Parsing Structured Data:https://docs.splunk.com/Documentation/Splunk
/latest/Data/Extractfieldsfromstructureddata
NEW QUESTION # 64
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