FREE PDF QUIZ SPLUNK - RELIABLE SPLK-1004 LATEST EXAM QUESTION

Free PDF Quiz Splunk - Reliable SPLK-1004 Latest Exam Question

Free PDF Quiz Splunk - Reliable SPLK-1004 Latest Exam Question

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Splunk SPLK-1004 exam is designed for individuals who are looking to demonstrate their advanced knowledge and skills in using Splunk Core. Splunk Core Certified Advanced Power User certification is ideal for those who want to take their Splunk expertise to the next level and become a certified advanced power user.

Splunk is one of the leading big data analytics and security software in the market today. Splunk can be used to monitor, search, analyze and visualize machine-generated data from different sources. It is a powerful tool that is used by organizations to gain insights into their machine data, conduct investigations, and improve their operational efficiency. Splunk offers a range of certifications, one of them being the SPLK-1004 (Splunk Core Certified Advanced Power User) Certification Exam.

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Splunk SPLK-1004 certification exam is designed for those who want to prove their proficiency in using Splunk to analyze data and gain insights. Splunk Core Certified Advanced Power User certification is intended for advanced power users who have mastered the skills required to get the most out of Splunk. The SPLK-1004 Exam covers a wide range of topics, including data input and parsing, advanced search techniques, data visualization, and more.

Splunk Core Certified Advanced Power User Sample Questions (Q14-Q19):

NEW QUESTION # 14
What qualifies a report for acceleration?

  • A. Fewer than 100k events in search results, with only a search and transaction command used in the search string.
  • B. Fewer than 100k events in search results, with transforming commands used in the search string.
  • C. More than 100k events in the search results, with a search and transforming command used in the search string.
  • D. More than 100k events in search results, with only a search command in the search string.

Answer: B

Explanation:
A report qualifies for acceleration in Splunk if it involves fewer than 100,000 events in the search results and uses transforming commands. Transforming commands aggregate data, which helps reduce the dataset's size and complexity, making the report suitable for acceleration.


NEW QUESTION # 15
What XML element is used to pass multiple fields into another dashboard using a dynamic drilldown?

  • A. <condition field="sources_Field_name">
  • B. <pass_token field="sources_field_name">
  • C. <link field="sources_field_name">
  • D. <drilldown field="sources_Field_name">

Answer: C

Explanation:
In Splunk Simple XML for dashboards, the <link> element is used within a <drilldown> configuration to pass multiple fields to another dashboard using dynamic drilldown.


NEW QUESTION # 16
What is an example of the simple XML syntax for a base search and its post-srooess search?

  • A. <search globalsearch="myBaseSearch">, <search globalsearch>
  • B. <search id="myBaseSearch">, <search base="myBaseSearch">
  • C. <panel id="myBaseSearch">, <panel base="myBaseSearch">
  • D. <search id="myGlobalSearch">, <search base="myBaseSearch">

Answer: B


NEW QUESTION # 17
What is the purpose of the rex command in Splunk?

  • A. To extract fields using regular expressions.
  • B. To remove duplicate events from search results.
  • C. To sort events based on a specified field.
  • D. To rename fields in the search results.

Answer: A

Explanation:
Therexcommand in Splunk is a powerful tool used forfield extractionby applyingregular expressions (regex)to raw event data. It allows users to define patterns that match specific parts of the data and extract them as fields. This is particularly useful when working with unstructured or semi-structured data, where fields are not automatically extracted.
Question Analysis:
The question asks about the purpose of therexcommand. Let's analyze each option:
* A. To extract fields using regular expressions.This is the correct answer. The primary purpose of the rexcommand is to extract fields from raw data using regex patterns. For example, you can userexto parse key-value pairs, timestamps, or other structured elements embedded in unstructured logs.
* B. To remove duplicate events from search results.This is incorrect. Thededupcommand is used to remove duplicate events, not therexcommand.
* C. To rename fields in the search results.This is incorrect. Therenamecommand is used to rename fields, not therexcommand.
* D. To sort events based on a specified field.This is incorrect. Thesortcommand is used to sort events, not therexcommand.
Why Option A Is Correct:
Therexcommand is specifically designed forfield extractionusingregular expressions. Regular expressions are patterns that describe how to match text in the data. By defining these patterns, you can extract specific portions of the raw data and assign them to fields.
For example, consider the following log entry:
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User=john Action=login Status=success
You can use therexcommand to extract theUser,Action, andStatusfields:
spl
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| rex "User=(?<user>w+) Action=(?<action>w+) Status=(?<status>w+)"
In this example:
* Therexcommand uses a regex pattern to identify and extract the values forUser,Action, andStatus.
* The extracted values are assigned to the fieldsuser,action, andstatus.
Key Features of the rex Command:
* Field Extraction:Extracts fields from raw data using regex patterns.
* Customization:Allows you to define custom field names for the extracted values.
* Flexibility:Works with both structured and unstructured data, making it versatile for various use cases.
Example Use Cases:
* Extracting Key-Value Pairs:Suppose your logs contain key-value pairs likekey=value. You can use rexto extract these pairs into fields:
| rex "key1=(?<field1>w+) key2=(?<field2>w+)"
* Parsing Timestamps:If your logs include timestamps in a specific format, you can userexto extract and parse them:
| rex "EventTime=(?<timestamp>d{4}-d{2}-d{2} d{2}:d{2}:d{2})"
* Extracting IP Addresses:To extract IP addresses from logs:
| rex "ClientIP=(?<ip>d{1,3}.d{1,3}.d{1,3}.d{1,3})"
References:
* Splunk Documentation - rex Command:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/rexThis document provides detailed information about the syntax and usage of therex command.
* Splunk Documentation - Regular Expressions:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/AboutregularexpressionsThis resource explains how regular expressions work and their role in field extraction.
* Splunk Core Certified Power User Learning Path:The official training materials cover therex command extensively, including examples and best practices for field extraction.
By enabling users to extract fields using regular expressions, therexcommand plays a critical role in transforming raw data into structured, queryable fields. This makesOption Athe verified and correct answer.


NEW QUESTION # 18
How is a muitlvalue Add treated from product-"a, b, c, d"?

  • A. . . . | makemv delim{product, ","}
  • B. . . . | makemv delim="," product
  • C. . . . | mvexpand product
  • D. . . . | eval mvexpand{makemv{product, ","})

Answer: B

Explanation:
To treat a multivalue field product="a, b, c, d" in Splunk, the correct command is ...| makemv delim="," product (Option D).The makemv command with the delim argument specifies the delimiter (in this case, a comma) to split the field values into a multivalue field. This allows for easier manipulation and analysis of each value within the product field as separate entities.


NEW QUESTION # 19
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