Lesson 1: SAM Architecture, Software Models, Discovery Data, and Normalization

Lesson Overview

This lesson develops practical capability in sam architecture, software models, discovery data, and normalization for the Software Asset Management Fundamentals Training. Learners connect platform data, workflow, security, user experience, testing, and operational support.

Topics Covered

SAM Architecture, Software Models, Discovery Data, and Normalization: purpose, terminology, architecture, personas, and measurable business outcomes
ServiceNow applications, tables, records, roles, workspaces, data relationships, and configuration used for sam architecture, software models, discovery data, and normalization
Requirements, process design, dependencies, controls, governance, and implementation sequencing for sam architecture, software models, discovery data, and normalization
Hands-on configuration and workflow practice focused on software models and normalization
Testing, validation, dashboards, diagnostics, troubleshooting, documentation, release, and operational support for sam architecture, software models, discovery data, and normalization

Practical Activity

Create a design or configuration worksheet for sam architecture, software models, discovery data, and normalization: purpose, terminology, architecture, personas, and measurable business outcomes.
Build and validate a practical ServiceNow exercise for hands-on configuration and workflow practice focused on software models and normalization.
Review logs, reports, test evidence, controls, and documentation for testing, validation, dashboards, diagnostics, troubleshooting, documentation, release, and operational support for sam architecture, software models, discovery data, and normalization.

Key Takeaways

Explain the architecture and business purpose of sam architecture, software models, discovery data, and normalization.
Configure or implement the core ServiceNow capabilities required for hands-on configuration and workflow practice focused on software models and normalization.
Validate results, identify common failure points, document decisions, and support a controlled release.

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Software Asset Management Fundamentals Training 1 Section4 Lessons24 Hours

Curriculum