Lesson 2: Data Onboarding, CIM, Data Models, Content Updates, Correlation Searches, and Risk

Lesson Overview

This lesson develops practical capability in data onboarding, cim, data models, content updates, correlation searches, and risk for the Administering Splunk Enterprise Security Training. Learners connect the topic to the wider course goal of deploying, configuring, administering, tuning, and governing Splunk Enterprise Security.

Topics Covered

Data Onboarding, CIM, Data Models, Content Updates, Correlation Searches, and Risk: purpose, terminology, architecture, roles, and expected business or operational outcomes
Core Splunk data, searches, configuration, objects, integrations, interfaces, and security controls relevant to the topic
Design decisions, dependencies, risks, permissions, performance considerations, and governance requirements
Guided practice focused on configuration, searches, integrations, security controls, and implementation patterns
Testing, validation, diagnostics, troubleshooting, documentation, and operational support

Practical Activity

Build or configure the core searches, objects, settings, integrations, or workflows covered in the lesson and record expected results.
Capture assumptions, configuration choices, expected results, test evidence, and remediation notes in a reusable worksheet.
Review the completed exercise against security, data quality, performance, maintainability, and support-readiness criteria.

Key Takeaways

Explain the purpose and architecture of data onboarding, cim, data models, content updates, correlation searches, and risk.
Apply the principal Splunk features and workflows required for the lesson scenario.
Validate results, identify common failure points, document decisions, and support a controlled operational outcome.

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Administering Splunk Enterprise Security Training 1 Section4 Lessons40 Hours

Curriculum