Splunk SPLK-1002日本語 Exam Details & Actual Exam Questions

Exam Code/Number: SPLK-1002日本語
Exam Name/Title: Splunk Core Certified Power User Exam (SPLK-1002日本語版)
Certification Provider: Splunk
Corresponding Certification: Splunk Core Certified Power User

Exam Questions: 315
Updated On: Sep,20 2026
Certification Level: Entry

Splunk Core Certified Power User Exam (SPLK-1002日本語版) Exam Questions

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Splunk SPLK-1002日本語 Exam Overview:

Certification Vendor:	Splunk
Exam Name:	Splunk Core Certified Power User Exam
Exam Number:	SPLK-1002
Exam Price:	$130 USD per attempt
Exam Format:	Multiple choice questions
Real Exam Qty:	65
Related Certifications:	Splunk Core Certified User Splunk Cloud Certified Admin Splunk Enterprise Certified Admin Splunk Core Certified Advanced Power User
Available Languages:	English
Exam Duration:	60 minutes
Recommended Training:	Splunk Core Certified Power User Learning Path
Exam Registration:	Official Splunk Certification Registration
Sample Questions:	Splunk SPLK-1002日本語 Sample Questions
Exam Way:	Online proctored or onsite via Pearson VUE
Pre Condition:	None
Official Syllabus URL:	https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html

Splunk SPLK-1002日本語 Exam Syllabus Topics:

Section	Weight	Objectives
Tags and Event Types	10%	- Knowledge objects 1. Create and use tags 2. Create event types 3. Event types usage
Filtering and Formatting Results	10%	- Search and evaluation commands 1. where command 2. search command 3. fillnull command 4. eval command
Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments
Using Transforming Commands for Visualizations	5%	- Visualization commands 1. chart command 2. timechart command
Workflow Actions	10%	- Workflow action types 1. GET workflow actions 2. Search workflow actions 3. POST workflow actions
Common Information Model (CIM)	10%	- Data normalization 1. Using CIM add-ons 2. Data normalization techniques 3. Purpose of CIM
Correlating Events	15%	- Event correlation techniques 1. Report on transactions 2. When to use transactions vs stats 3. Group events using fields and time 4. Group events using fields 5. Identify transactions 6. Search with transactions
Data Models	10%	- Data model concepts 1. Pivot usage 2. Create data models 3. Data model attributes 4. Data model structure
Field Aliases and Calculated Fields	10%	- Field enrichment 1. Calculated fields 2. Field aliases
Creating and Managing Fields	10%	- Field extraction methods 1. Regex field extraction using Field Extractor (FX) 2. Delimiter field extraction using Field Extractor (FX)