Most Recent Splunk SPLK-1002 Exam Dumps

Prepare for the Splunk Core Certified Power User exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Splunk SPLK-1002 exam and achieve success.

The questions for SPLK-1002 were last updated on May 1, 2025.

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Question No. 1

The Splunk Common Information Model (CIM) is a collection of what type of knowledge object?

AKV Store

BLookups

CSaved searches

DData models

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Correct Answer: D

The Splunk Common Information Model (CIM) is a collection of data models that apply a common structure and naming convention to data from any source. A data model is a type of knowledge object that defines the structure and relationships of fields in a dataset. A data model can have one or more datasets, which are subsets of the data model that represent different aspects of the data. For example, the Network Traffic data model has datasets such as All Traffic, DNS, HTTP, etc. The CIM contains 28 pre-configured data models that cover various domains such as authentication, network traffic, web, email, etc.The CIM is implemented as an add-on that contains the JSON files for the data models, documentation, and tools that support the consistent, normalized treatment of data for maximum efficiency at search time23

1: Splunk Core Certified Power User Track, page 10.2: Splunk Documentation, Overview of the Splunk Common Information Model1.3: Splunkbase, Splunk Common Information Model (CIM)2.

Question No. 2

Which of the following expressions could be used to create a calculated field called gigabytes?

Aeval sc_bytes(1024/1024)

B| eval negabytes=sc_bytes(1024/1024)

Cmegabytes=sc_bytes(1024/1024)

Dsc_bytas(1024/1024)

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Correct Answer: B

Question No. 3

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

AFor data cleanly separated by a space, a comma, or a pipe character.

BFor data in a CSV (comma-separated value) file.

CFor data with multiple, different characters separating fields.

DFor unstructured data.

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Correct Answer: C, D

The regular expression mode of Field Extractor (FX) should be used for data with multiple, different characters separating fields or for unstructured dat

a. 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. Reference SeeBuild field extractions with the field extractor - Splunk DocumentationandField Extractor: Select Method step - Splunk Documentation.

Question No. 4

What is needed to define a calculated field?

AEval expression

BData model

CEvent type

DRegular expression

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Correct Answer: A

A calculated field in Splunk is created using an eval expression, which allows users to perform calculations or transformations on field values during search time.

Splunk Docs - Calculated fields

Question No. 5

Which tool uses data models to generate reports and dashboard panels without using SPL?

AVisualization tab

BPivot

CDatasets

Dsplunk CIM

Show Answer

Correct Answer: B

The correct answer is B. Pivot1.

In Splunk, Pivot is a tool that uses data models to generate reports and dashboard panels without the need for users to write or understand Splunk's Search Processing Language (SPL)1. Data models enable users of Pivot to create compelling reports and dashboards1. When a Pivot user designs a pivot report, they select the data model that represents the category of event data that they want to work with1. Then they select a dataset within that data model that represents the specific dataset on which they want to report1. This makes Pivot a powerful tool for users who need to create visualizations but do not have a deep understanding of SPL1.

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