Splunk Enterprise Lab
This Splunk Enterprise 24-hour practical lab exercise is designed to take you through the tasks of a complete mock development. Each participant is given access to a specified number of Linux servers and a set of requirements.
Participants then perform a mock deployment according to requirements which adhere to Splunk Deployment Methodology and best-practices.
Splunk Credit Value : 100
Duration : First 4 hours instructor led, 24 hours allowed for completion
Time : 11:00 am - 3:00 pm AEST
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*Course discounts apply for Splunk Partners. Please use the currency convertor above to check for course pricing in your local currency.
Class Format
Instructor-led lecture with labs. Delivered via virtual classroom.
Audience
Enterprise architects seeking to sit the Certified Architect exam.
Related Certifications
Prerequisite Knowledge
To be successful, students should have a solid understanding of the following:
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Splunk Fundamentals 1
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Splunk Fundamentals 2
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Or the following single-subject courses:
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What is Splunk?
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Intro to Splunk
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Using Fields
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Scheduling Reports and Alerts
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Visualisations
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Introduction to Knowledge Objects
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Creating Field Extractions
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Introduction to Dashboards
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Students should also understand the following courses:
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Splunk Enterprise System Administration
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Splunk Enterprise Data Administration
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Architecting Splunk Enterprise Deployments
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Troubleshooting Splunk Enterprise
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Splunk Enterprise Cluster Administration
After completing the Splunk Enterprise Lab you will be able to;
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You will have a thorough understanding of Splunk Deployment Methodology and best-practices for planning, data collection, and sizing for a distributed deployment.
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Be able to manage and troubleshoot a standard distributed deployment with indexer and search head clustering.
Splunk Enterprise Lab - Course Objectives
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Installation and Infrastructure
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Install forwarders, indexer, search head, deployment server and license master Configuration and Collection
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Configure an index cluster
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Deploy all specified configurations via deployment server
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Configure inputs from forwarders
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Configure and confirm index-time knowledge
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Create search time fields Searching and Reporting
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Create searches for each required use case
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Get indexer event acknowledgements