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

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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

  • Use SPL search commands to perform searches:

  • Module 10 - Creating and Using Lookups

  • Save search results

  • Set the time range of a search

  • Work with events

  • Describe Pivot

  • Add a pivot report to a dashboard

  • Refine searches

  • Module 3 - Introduction to Splunk's User Interface

  • The stats command

  • Configure scheduled reports

  • Module 1 - Introduction

  • Overview of Buttercup Games Inc.

  • Module 8 - Creating Reports and Dashboards

  • Installing Splunk

  • The rare command

  • Module 12 - Using Pivot

  • Edit reports

  • Use autocomplete and syntax highlighting

  • Configure an automatic lookup

  • Define Splunk Apps

  • Add a report to a dashboard

  • Module 6 - Search Language Fundamentals

  • Create alerts

  • Understand the relationship between data models and pivot

  • Create reports that include visualizations such as charts

  • Examine the search pipeline

  • What are datasets?

  • Create a lookup file and create a lookup definition

  • Use fields in searches

  • Getting data into Splunk

  • Module 7 - Using Basic Transforming Commands

  • Describe scheduled reports

  • Learn basic navigation in Splunk

  • Select a data model object

  • Module 5 - Using Fields in Searches

  • Use autocomplete to help build a search

  • What is the Common Information Model (CIM)?

  • Module 2 - What is Splunk?

  • Identify the contents of search results

  • View fired alerts

  • Use the timeline

  • Module 4 - Basic Searching

  • Edit a dashboard

  • Use the fields sidebar

  • Customizing your user settings

  • Review basic search commands and general search practices

  • The top command

  • Module 9 - Datasets and the Common Information Model

  • Splunk components

  • Specify indexes in searches

  • Create an instant pivot from a search

  • Naming conventions

  • Describe alerts

  • Create a pivot report

  • Create a dashboard

  • Understand fields

  • Understand the uses of Splunk

  • Save a search as a report

  • Run basic searches

  • Module 11 - Creating Scheduled Reports and Alerts

  • Control a search job

  • and tables

  • Describe lookups

2. Splunk Fundamentals

  • Module 7 - Introduction to Knowledge Objects

  • Create a Search workflow action

  • Identify naming conventions

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

  • Describe the relationship between data models and pivot

  • Module 9 - Creating Field Aliases and Calculated Fields

  • The eval command

  • Module 8 - Creating and Managing Fields

  • Add and use arguments with a macro

  • Identify transactions

  • Create a POST workflow action

  • Create and use tags

  • Manage knowledge objects

  • Module 12 - Creating and Using Workflow Actions

  • Search with transactions

  • Explore visualization types

  • The geom command

  • Create and use a basic macro

  • Module 1 - Introduction

  • Overview of Buttercup Games Inc.

  • Review permissions

  • Identify data model attributes

  • Determine when to use transactions vs. stats

  • Describe event types and their uses

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

  • Describe, create and use calculated fields

  • The filnull command

  • Group events using fields

  • Using the job inspector to view search performance

  • List the knowledge objects included with the Splunk CIM

  • Module 13 - Creating Data Models

  • Group events using fields and time

  • Module 10 - Creating Tags and Event Types

  • Create a data model

  • Define arguments and variables for a macro

  • Create an event type

  • Using the search and where commands to filter results

  • The geostats command

  • Perform delimiter field extractions using the FX

  • Describe the Splunk CIM

  • The iplocation command

  • Case sensitivity

  • Module 6 - Correlating Events

  • Describe macros

  • Lab environment

  • The addtotals command

  • Module 11 - Creating and Using Macros

  • Module 5 - Filtering and Formatting Results

  • Search fundamentals review

  • Create and format charts and timecharts

  • Explore data structure requirements

  • Use a data model in pivot

  • Module 3 - Using Transforming Commands for Visualizations

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

  • Report on transactions

  • Module 2 - Beyond Search Fundamentals

  • Use the CIM Add-On to normalize data

  • Add-On

  • Create a GET workflow action

  • Describe, create, and use field aliases

  • Module 4 - Using Mapping and Single Value Commands

Splunk SPLK-1002日本語 Exam Syllabus Topics:

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

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