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Splunk SPLK-1002 Exam Overview:

Certification Vendor:Splunk
Exam Name:Splunk Core Certified Power User Exam
Exam Number:SPLK-1002
Available Languages:English
Certificate Validity Period:2 years
Exam Price:$130 USD
Exam Duration:60 minutes
Passing Score:70%
Real Exam Qty:65
Related Certifications:Splunk Enterprise Certified Admin
Splunk Core Certified Advanced Power User
Exam Format:Multiple response, Multiple choice
Recommended Training:Splunk Fundamentals 2
Official Splunk Certification Page
Exam Registration:Pearson VUE Registration
Sample Questions:Splunk SPLK-1002 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No required prerequisites; recommended to complete Splunk Fundamentals 2 course and have 3–6 months of hands-on experience
Official Syllabus URL:https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html

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Splunk SPLK-1002 Exam is designed for individuals who want to demonstrate their expertise in using Splunk Core. Splunk Core Certified Power User Exam certification exam is intended for professionals who manage large and complex Splunk environments, and have a deep understanding of SPL commands, field extraction, data models, and data normalization. The SPLK-1002 exam is a great way to showcase your Splunk skills and enhance your credibility in the industry.

The Splunk Core Certified Power User Exam certification exam is ideal for professionals who are responsible for analyzing data using Splunk, such as security analysts, system administrators, and data analysts. Splunk Core Certified Power User Exam certification demonstrates that an individual has a comprehensive understanding of how to use Splunk to extract valuable insights from data. Splunk Core Certified Power User Exam certification exam is conducted online and includes 60 multiple-choice questions that must be completed within 90 minutes. Candidates have the option to take the exam in English, Japanese, or Chinese.

Splunk Core Certified Power User Exam Sample Questions (Q77-Q82):

NEW QUESTION # 77
When would a user select delimited field extractions using the Field Extractor (FX)?

Answer: B

Explanation:
Explanation
The correct answer is A. When a log file has values that are separated by the same character, for example, commas.
The Field Extractor (FX) is a utility in Splunk Web that allows you to create new fields from your events by using either regular expressions or delimiters. The FX provides a graphical interface that guides you through the steps of defining and testing your field extractions1.
The FX supports two field extraction methods: regular expression and delimited. The regular expression method works best with unstructured event data, such as logs or messages, that do not have a consistent format or structure. You select a sample event and highlight one or more fields to extract from that event, and the FX generates a regular expression that matches similar events in your data set and extracts the fields from them1.
The delimited method is designed for structured event data: data from files with headers, where all of the fields in the events are separated by a common delimiter, such as a comma, a tab, or a space. You select a sample event, identify the delimiter, and then rename the fields that the FX finds1.
Therefore, you would select the delimited field extraction method when you have a log file that has values that are separated by the same character, for example, commas. This method will allow you to easily extract the fields based on the delimiter without writing complex regular expressions.
The other options are not correct because they are not suitable for the delimited field extraction method. These options are:
B: When a log file contains empty lines or comments: This option does not indicate that the log file has a structured format or a common delimiter. The delimited method might not work well with this type of data, as it might miss some fields or include some unwanted values.
C: With structured files such as JSON or XML: This option does not require the delimited method, as Splunk can automatically extract fields from JSON or XML files by using indexed extractions or search-time extractions2. The delimited method might not work well with this type of data, as it might not recognize the nested structure or the special characters.
D: When the file has a header that might provide information about its structure or format: This option does not indicate that the file has a common delimiter between the fields. The delimited method might not work well with this type of data, as it might not be able to identify the fields based on the header information.
References:
Build field extractions with the field extractor
Configure indexed field extraction


NEW QUESTION # 78
Which of the following statements describe the search string below?
| datamodel Application_State All_Application_State search

Answer: D


NEW QUESTION # 79
What does the following search do?

Answer: D

Explanation:
The search string below creates a table of the total count of mysterymeat corndogs split by user.
| stats count by user | where corndog=mysterymeat
The search string does the following:
It uses the stats command to calculate the count of events for each value of the user field. The stats command creates a table with two columns: user and count.
It uses the where command to filter the results by the value of the corndog field. The where command only keeps the rows where corndog equals mysterymeat.
Therefore, the search string creates a table of the total count of mysterymeat corndogs split by user.


NEW QUESTION # 80
When should the regular expression mode of Field Extractor (FX) be used? (select all that apply)

Answer: A,C

Explanation:
The regular expression mode of Field Extractor (FX) should be used for data with multiple, different
characters separating fields or for unstructured data. The regular expression mode allows you to select a
sample event and highlight the fields that you want to extract, and the field extractor generates a regular
expression that matches similar events and extracts the fields from them.ReferencesSee Build field extractions
with the field extractor - Splunk Documentation and Field Extractor: Select Method step - Splunk
Documentation.


NEW QUESTION # 81
What other syntax will produce exactly the same results as | chart count over vendor_action by user?

Answer: C

Explanation:
https://docs.splunk.com/Documentation/Splunk/8.1.2/SearchReference/Chart


NEW QUESTION # 82
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