Splunk SPLK-1002日本語 actual dump : Splunk Core Certified Power User Exam (SPLK-1002日本語版)

SPLK-1002日本語
  • Exam Code: SPLK-1002J
  • Exam Name: Splunk Core Certified Power User Exam (SPLK-1002日本語版)
  • Updated: Sep 26, 2026
  • Q & A: 315 Questions and Answers

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Splunk Core Certified Power User splk-1002 Exam

Splunk Core Certified Power User splk-1002 Exam is designed for individuals who has a basic understanding of SPL searching and reporting commands and can create knowledge objects, use field aliases and calculated fields, create tags and event types, use macros, create workflow actions and data models, and normalize data with the Common Information Model in either the Splunk Enterprise or Splunk Cloud platforms. This certification demonstrates an individual's foundational competence of Splunk's core software.

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splk-1002 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our splk-1002 exam dumps will include the following topics:

1. Splunk Fundamentals

  • Installing Splunk

  • Edit reports

  • Understand fields

  • Create a dashboard

  • and tables

  • Use SPL search commands to perform searches:

  • Edit a dashboard

  • Create a pivot report

  • Module 5 - Using Fields in Searches

  • Run basic searches

  • Control a search job

  • Review basic search commands and general search practices

  • Describe scheduled reports

  • Set the time range of a search

  • Examine the search pipeline

  • Create a lookup file and create a lookup definition

  • Select a data model object

  • Describe lookups

  • Create alerts

  • View fired alerts

  • Use the timeline

  • Module 11 - Creating Scheduled Reports and Alerts

  • Splunk components

  • Configure scheduled reports

  • Module 10 - Creating and Using Lookups

  • Save a search as a report

  • Module 9 - Datasets and the Common Information Model

  • Customizing your user settings

  • Understand the relationship between data models and pivot

  • Module 1 - Introduction

  • Use autocomplete to help build a search

  • Define Splunk Apps

  • The top command

  • Refine searches

  • Identify the contents of search results

  • Create reports that include visualizations such as charts

  • Understand the uses of Splunk

  • Specify indexes in searches

  • Describe alerts

  • Module 8 - Creating Reports and Dashboards

  • Module 7 - Using Basic Transforming Commands

  • The rare command

  • What are datasets?

  • Learn basic navigation in Splunk

  • Overview of Buttercup Games Inc.

  • Use autocomplete and syntax highlighting

  • Describe Pivot

  • What is the Common Information Model (CIM)?

  • Create an instant pivot from a search

  • Naming conventions

  • Module 6 - Search Language Fundamentals

  • Module 4 - Basic Searching

  • Module 3 - Introduction to Splunk's User Interface

  • Add a pivot report to a dashboard

  • Configure an automatic lookup

  • Module 12 - Using Pivot

  • Use the fields sidebar

  • Module 2 - What is Splunk?

  • The stats command

  • Save search results

  • Work with events

  • Use fields in searches

  • Add a report to a dashboard

  • Getting data into Splunk

2. Splunk Fundamentals

  • Module 10 - Creating Tags and Event Types

  • Module 7 - Introduction to Knowledge Objects

  • Module 8 - Creating and Managing Fields

  • Module 4 - Using Mapping and Single Value Commands

  • Add and use arguments with a macro

  • Explore visualization types

  • Create an event type

  • Create a data model

  • Use the CIM Add-On to normalize data

  • Perform delimiter field extractions using the FX

  • Search with transactions

  • Using the job inspector to view search performance

  • The geom command

  • Module 2 - Beyond Search Fundamentals

  • Module 3 - Using Transforming Commands for Visualizations

  • Module 14 - Using the Common Information Model (CIM) Add-On

  • Describe event types and their uses

  • Describe the relationship between data models and pivot

  • Lab environment

  • Report on transactions

  • Identify transactions

  • Using the search and where commands to filter results

  • Manage knowledge objects

  • Review permissions

  • Describe macros

  • Describe, create and use calculated fields

  • Search fundamentals review

  • Case sensitivity

  • Module 13 - Creating Data Models

  • Describe the Splunk CIM

  • Create a POST workflow action

  • The geostats command

  • Group events using fields and time

  • The addtotals command

  • Create and format charts and timecharts

  • The filnull command

  • Group events using fields

  • List the knowledge objects included with the Splunk CIM

  • Create a Search workflow action

  • Explore data structure requirements

  • Module 1 - Introduction

  • Module 6 - Correlating Events

  • Create and use tags

  • Identify data model attributes

  • Module 12 - Creating and Using Workflow Actions

  • Describe the function of GET, POST, and Search workflow actions

  • Use a data model in pivot

  • Define arguments and variables for a macro

  • Determine when to use transactions vs. stats

  • Overview of Buttercup Games Inc.

  • The eval command

  • Identify naming conventions

  • Add-On

  • Create a GET workflow action

  • The iplocation command

  • Module 5 - Filtering and Formatting Results

  • Module 9 - Creating Field Aliases and Calculated Fields

  • Module 11 - Creating and Using Macros

  • Perform regex field extractions using the Field Extractor (FX)

  • Create and use a basic macro

  • Describe, create, and use field aliases

Reference: https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html

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Splunk SPLK-1002日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Macros10%- Search macros
  • 1. Macros with arguments
    • 2. Create and use basic macros
      Topic 2: Tags and Event Types10%- Knowledge objects
      • 1. Create and use tags
        • 2. Event types usage
          • 3. Create event types
            Topic 3: Correlating Events15%- Event correlation techniques
            • 1. Report on transactions
              • 2. Search with transactions
                • 3. When to use transactions vs stats
                  • 4. Group events using fields
                    • 5. Identify transactions
                      • 6. Group events using fields and time
                        Topic 4: Using Transforming Commands for Visualizations5%- Visualization commands
                        • 1. timechart command
                          • 2. chart command
                            Topic 5: Workflow Actions10%- Workflow action types
                            • 1. Search workflow actions
                              • 2. POST workflow actions
                                • 3. GET workflow actions
                                  Topic 6: Common Information Model (CIM)10%- Data normalization
                                  • 1. Purpose of CIM
                                    • 2. Data normalization techniques
                                      • 3. Using CIM add-ons
                                        Topic 7: Filtering and Formatting Results10%- Search and evaluation commands
                                        • 1. where command
                                          • 2. fillnull command
                                            • 3. search command
                                              • 4. eval command
                                                Topic 8: Field Aliases and Calculated Fields10%- Field enrichment
                                                • 1. Field aliases
                                                  • 2. Calculated fields
                                                    Topic 9: Data Models10%- Data model concepts
                                                    • 1. Data model structure
                                                      • 2. Pivot usage
                                                        • 3. Data model attributes
                                                          • 4. Create data models
                                                            Topic 10: Creating and Managing Fields10%- Field extraction methods
                                                            • 1. Regex field extraction using Field Extractor (FX)
                                                              • 2. Delimiter field extraction using Field Extractor (FX)

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