PASS GUARANTEED 2025 SPLUNK HIGH PASS-RATE SPLK-1002: SPLUNK CORE CERTIFIED POWER USER EXAM ORIGINAL QUESTIONS

Pass Guaranteed 2025 Splunk High Pass-Rate SPLK-1002: Splunk Core Certified Power User Exam Original Questions

Pass Guaranteed 2025 Splunk High Pass-Rate SPLK-1002: Splunk Core Certified Power User Exam Original Questions

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Tags: SPLK-1002 Original Questions, Exam SPLK-1002 Price, Exam SPLK-1002 Online, Download SPLK-1002 Fee, Valid SPLK-1002 Test Pdf

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The Splunk SPLK-1002 exam consists of 65 multiple-choice questions and has a time limit of 90 minutes. It is administered online and can be taken from anywhere in the world. SPLK-1002 exam covers topics such as data input, search commands, transforming commands, reporting commands, and dashboard creation.

Splunk Core is widely used by organizations to extract insights and value from machine-generated data. The SPLK-1002 certification exam is a testament to an individual's understanding of Splunk Core and their ability to use it effectively. Splunk Core Certified Power User Exam certification provides a competitive edge in the job market and validates the individual's expertise in Splunk Core. Moreover, it also provides a path for individuals to advance their careers in the field of data analytics and security.

To prepare for the SPLK-1002 Exam, candidates can take advantage of a range of resources provided by Splunk, including online training courses, study guides, and practice exams. Candidates can also participate in Splunk user groups and attend Splunk conferences to network with other professionals in the field. With the right preparation and dedication, IT professionals can pass the SPLK-1002 exam and earn the Splunk Core Certified Power User certification, marking themselves as experts in the field of data analysis and visualization.

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Splunk Core Certified Power User Exam Sample Questions (Q199-Q204):

NEW QUESTION # 199
Which of the following searches will return events containing a tag named Privileged?

  • A. tag=privileged
  • B. tag=Priv
  • C. tag=priv*
  • D. tag=Priv*

Answer: D

Explanation:
The tag=Priv* search will return events containing a tag named Privileged, as well as any other tag that starts with Priv. The asterisk (*) is a wildcard character that matches zero or more characters. The other searches will not match the exact tag name.


NEW QUESTION # 200
Which of the following statements about tags is true?

  • A. Tags are created at index time.
  • B. Tags are searched by using the syntax tag: : <fieldneme>
  • C. Tags can make your data more understandable.
  • D. Tags are case insensitive.

Answer: C


NEW QUESTION # 201
What is the Splunk Common Information Model (CIM)?

  • A. The CIM defines an ecosystem of apps that can be fully supported by Splunk.
  • B. The CIM is a prerequisite that any data source must meet to be successfully onboarded into Splunk.
  • C. The CIM is a data exchange initiative between software vendors.
  • D. The CIM provides a methodology to normalize data from different sources and source types.

Answer: D

Explanation:
Explanation
The Splunk Common Information Model (CIM) provides a methodology to normalize data from different sources and source types. The CIM defines a common set of fields and tags for different types of data, such as web, network, email, etc. This allows you to search and analyze data from different sources in a consistent way.


NEW QUESTION # 202
Which of the following statements about data models and pivot are true? (select all that apply)

  • A. Pivot allows the creation of data visualizations that present different aspects of a data model.
  • B. Pivot requires users to input SPL searches on data models.
  • C. Data models are created out of datasets called pivots.
  • D. They are both knowledge objects.

Answer: A

Explanation:
Data models and pivot are both knowledge objects in Splunk that allow you to analyze and visualize your data in different ways. Data models are collections of datasets that represent your data in a structured and hierarchical way. Data models define how your data is organized into objects and fields. Pivot is a user interface that allows you to create data visualizations that present different aspects of a data model. Pivot does not require users to input SPL searches on data models, but rather lets them select options from menus and forms. Data models are not created out of datasets called pivots, but rather pivots are created from datasets in data models.


NEW QUESTION # 203
Which field will be used to populate the field if the productName and product:d fields have values for a given event?

  • A. The value for the productName field because it appears first.
  • B. | eval productINFO=coalesco(productName,productid)
  • C. Neither field value will be used and the field will be assigned a NULL value for the given event.
  • D. Both field values will be used and the product INFO field will become a multivalue field for the given event.
  • E. The value for the field because it appears second.

Answer: D

Explanation:
The correct answer is B. The value for the productName field because it appears first.
The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first value that is not null. A null value means that the field has no value at all, while an empty value means that the field has a value, but it is "" or zero-length1.
The coalesce function can be used to combine fields that have different names but represent the same data, such as IP address or user name. The coalesce function can also be used to rename fields for clarity or convenience2.
The syntax for the coalesce function is:
coalesce(<field1>,<field2>,...)
The coalesce function will return the value of the first field that is not null in the argument list. If all fields are null, the coalesce function will return null.
For example, if you have a set of events where the IP address is extracted to either clientip or ipaddress, you can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress, depending on which is not null:
| eval ip=coalesce(clientip,ipaddress)
In your example, you have a set of events where the product name is extracted to either productName or productid, and you use the coalesce function to define a new field called productINFO, that takes the value of either productName or productid, depending on which is not null:
| eval productINFO=coalesce(productName,productid)
If both productName and productid fields have values for a given event, the coalesce function will return the value of the productName field because it appears first in the argument list. The productid field will be ignored by the coalesce function.
Therefore, the value for the productName field will be used to populate the productINFO field if both fields have values for a given event.
Reference:
Search Command> Coalesce
USAGE OF SPLUNK EVAL FUNCTION : COALESCE


NEW QUESTION # 204
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