Splunk Core Certified Advanced Power User Learning Path (English)

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A Splunk Core Certified Advanced Power User has greater depth of knowledge and skills in complex searching and reporting commands, advanced use cases of knowledge objects, and best practices for building dashboards and forms. This certification demonstrates an individuals ability to generate complex searches, reports, and dashboards with Splunks core software to get the most out of their data.

Doelgroep

Candidates who wish to prepare for the Splunk Core Certified Advanced Power User exam are recommended to complete either Fundamentals 3, Creating Dashboards with Splunk, and Advanced Searching & Reporting.

Voorkennis

Click here to register yourself and create a Splunk account.
Please fill in the field Create Your Splunk Account to create an account.
In your portal, you can search for the following eLearnings that you need as pre knowledge;

To prepare for any Splunk Certification-Based Learning Path, students should complete these free introductory e-learning modules:
Search for the eLearning : What is Splunk? (WIS) (45 minutes to complete).
Search for the eLearning : Intro to Splunk (ITS) (45 minutes to complete).
Search for the eLearning : Using Fields (SUFF) (1 hour to complete).

And before starting the Splunk Core Certified User Learning Path, students should complete these free e-learning modules:
Search for the eLearning : Scheduling Reports & Alerts (SRA) (3 hours to complete).
Search for the eLearning : Visualizations (SVZ) (1 hour to complete).

Fabian Klostermann

accountmanager

Onderwerpen

Multivalue Fields (SMV)
- Topic 1 – What are Multivalue Fields?
- Topic 2 – Creating Multivalue Fields
- Topic 3 – Evaluating Multivalue Fields
- Topic 4 – Manipulating Multivalue Data
Search Optimization (SSO)
- Topic 1 – Optimizing Search
- Topic 2 – Report Acceleration
- Topic 3 – Data Model Acceleration
- Topic 4 – Using the tstats Command

Introduction to Dashboards (ITD)
- Topic 1 – Dashboard Framework
- Topic 2 – Create a Prototype
- Topic 3 – Use Dynamic Coloring
Dynamic Dashboards (SDD)
- Topic 1 – Selecting a Data Source
- Topic 2 – Adding Inputs
- Topic 3 – Improving Performance

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Multivalue Fields (SMV)
- Topic 1 – What are Multivalue Fields?
  - Understand multivalue fields
  - Define self-describing data
  - Understand how JSON data is handled in Splunk
  - Use the spath command to interpret self-describing data
  - Use the mvzip and mvexpand commands to manipulate multivalue fields
  - Convert single-value fields to multivalue fields with specific commands and functions
- Topic 2 – Creating Multivalue Fields
  - Create multivalue fields with the makemv command and the split function of the eval command
- Topic 3 – Evaluating Multivalue Fields
  - Use the mvcount, mvindex, and mvfilter eval functions to evaluate multivalue fields
- Topic 4 – Manipulating Multivalue Data
  - Use the mvsort, mvzip, mvjoin, mvmap, and mvappend eval functions and the mvexpand command to analyze multivalue data
Search Optimization (SSO)
- Topic 1 – Optimizing Search
  - Understand how search modes affect performance
  - Examine the role of the Splunk Search Scheduler
  - Review general search practices
- Topic 2 – Report Acceleration
  - Define acceleration and acceleration types
  - Understand report acceleration and create an accelerated report
  - Reveal when and how report acceleration summaries are created
  - Search against acceleration summaries
- Topic 3 – Data Model Acceleration
  - Understand data model acceleration
  - Accelerate a data model
  - Use the datamodel command to search data models
- Topic 4 – Using the tstats Command
  - Explore the tstats command
  - Search acceleration summaries with tstats
  - Search data models with tstats
  - Compare tstats and stats

Introduction to Dashboards (ITD)
- Topic 1 – Dashboard Framework
  - Describe the dashboard definition
  - Compare classic and dashboard studio dashboards
  - Manage view
  - Use dashboard best practices
- Topic 2 – Create a Prototype
  - Describe dashboard workflows
  - Compare layout types
  - Identify layout fields
  - Add visualizations
- Topic 3 – Use Dynamic Coloring
  - Describe dynamic coloring
  - Contrast visualization types
  - Set global time parameters
  - Apply dynamic coloring
Dynamic Dashboards (SDD)
- Topic 1 – Selecting a Data Source
  - Identify dataSources stanza fields
  - Name search types
  - Use a secondary data source
- Topic 2 – Adding Inputs
  - Identify types of inputs
  - Describe how inputs worK
  - Create a dynamic input
  - Add cascading inputs
- Topic 3 – Improving Performance
  - Identify performance improvement methods
  - Use tstats and accelerated data models
  - Create chain searches
  - Set defaults

Planning & Prijs

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