VALID SPLK-1004 EXAM SYLLABUS, EXAM SPLK-1004 OVERVIEW

Valid SPLK-1004 Exam Syllabus, Exam SPLK-1004 Overview

Valid SPLK-1004 Exam Syllabus, Exam SPLK-1004 Overview

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Tags: Valid SPLK-1004 Exam Syllabus, Exam SPLK-1004 Overview, Reliable SPLK-1004 Cram Materials, SPLK-1004 Study Materials, SPLK-1004 Sure Pass

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Splunk SPLK-1004: Splunk Core Certified Advanced Power User Exam is a certification exam offered by Splunk to evaluate candidates' ability to manage and analyze Splunk Enterprise data. SPLK-1004 Exam is designed for experienced Splunk professionals who have the skills and knowledge required to use advanced search techniques, create complex dashboards and visualizations, and manage Splunk Enterprise security and performance. Successful completion of the certification exam demonstrates that the candidate has the expertise to use Splunk Enterprise efficiently and effectively in complex environments.

>> Valid SPLK-1004 Exam Syllabus <<

SPLK-1004 - Splunk Core Certified Advanced Power User Updated Valid Exam Syllabus

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Splunk Core Certified Advanced Power User Sample Questions (Q70-Q75):

NEW QUESTION # 70
What capability does a power user need to create a Log Event alert action?

  • A. edit_search_server
  • B. edit udp
  • C. edit_alerts
  • D. edit_tcp

Answer: C

Explanation:
To create a Log Event alert action in Splunk, a power user needs the edit_alerts capability (Option D). This capability allows the user to configure and manage alert actions, including setting up alerts to log specific events based on predefined conditions within Splunk's alerting framework.


NEW QUESTION # 71
Which of the following are potential string results returned by the typeof function?

  • A. Number, String, Bool
  • B. Number, String, Null
  • C. Field, Value, Lookup
  • D. True, False, Unknown

Answer: A

Explanation:
Thetypeoffunction in Splunk is used to determine the data type of a field or value.It returns one of the following string results:
* Number: Indicates that the value is numeric.
* String: Indicates that the value is a text string.
* Bool: Indicates that the value is a Boolean (true/false).
Here's why this works:
* Purpose of typeof: Thetypeoffunction is commonly used in conjunction with theevalcommand to inspect the data type of fields or expressions. This is particularly useful when debugging or ensuring that fields are being processed as expected.
* Return Values: The function categorizes values into one of the three primary data types supported by Splunk:Number,String, orBool.
Example:
| makeresults
| eval example_field = "123"
| eval type = typeof(example_field)
This will produce:
_time example_field type
------------------- -------------- ------
<current_timestamp> 123 String
Other options explained:
* Option A: Incorrect becauseTrue,False, andUnknownare not valid return values of thetypeoffunction.
These might be confused with Boolean logic but are not related to data type identification.
* Option C: Incorrect becauseNullis not a valid return value oftypeof. Instead,Nullrepresents the absence of a value, not a data type.
* Option D: Incorrect becauseField,Value, andLookupare unrelated to thetypeoffunction. These terms describe components of Splunk searches, not data types.
References:
* Splunk Documentation ontypeof:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/CommonEvalFunctions
* Splunk Documentation on Data Types:https://docs.splunk.com/Documentation/Splunk/latest/Search
/Aboutfields


NEW QUESTION # 72
What does the query | makeresults generate?

  • A. A timestamp
  • B. A results field
  • C. An error message
  • D. The results of the previously run search.

Answer: B

Explanation:
The | makeresults command in Splunk generates a single event containing default fields, with theprimary purpose of creating sample data or a placeholder event for testing and development purposes. The most notable field it generates is _time, but it does not create a specific 'results' field per se. However, it's commonly used to create a base event for further manipulation with eval or other commands in search queries for demonstration, testing, or constructing specific scenarios.


NEW QUESTION # 73
Which commands can run on both search heads and indexers?

  • A. Centralized streaming commands
  • B. Dataset processing commands
  • C. Transforming commands
  • D. Distributable streaming commands

Answer: D

Explanation:
In Splunk's processing model, commands are categorized based on how and where they execute within the search pipeline. Understanding these categories is crucial for optimizing search performance.
Distributable Streaming Commands:
* Definition:These commands operate on each event individually and do not depend on the context of other events. Because of this independence, they can be executed on indexers, allowing the processing load to be distributed across multiple nodes.
* Execution:When a search is run, distributable streaming commands can process events as they are retrieved from the indexers, reducing the amount of data sent to the search head and improving efficiency.
* Examples:eval, rex, fields, rename
Other Command Types:
* Dataset Processing Commands:These commands work on entire datasets and often require all events to be available before processing can begin. They typically run on the search head.
* Centralized Streaming Commands:These commands also operate on each event but require a centralized view of the data, meaning they usually run on the search head after data has been gathered from the indexers.
* Transforming Commands:These commands, such as stats or chart, transform event data into statistical tables and generally run on the search head.
By leveraging distributable streaming commands, Splunk can efficiently process data closer to its source, optimizing resource utilization and search performance.


NEW QUESTION # 74
When would a distributable streaming command be executed on an indexer?

  • A. If all preceding search commands are executed on the indexer, and a streamstats command is used.
  • B. If all preceding search commands are executed on the indexer.
  • C. If any of the preceding search commands are executed on the search head.
  • D. If some of the preceding search commands are executed on the indexer, and a timerchart command is used.

Answer: B

Explanation:
A distributable streaming command would be executed on an indexer if all preceding search commands are executed on the indexer, enhancing search efficiency by processing data where it resides.


NEW QUESTION # 75
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