Manage models: Register an MLflow model

Build evidence for this objective

Learn the concept across structured materials, then test it through adaptive questions and applied scenarios. Your results contribute to an objective-level mastery view and your next recommended action.

Official references

• Train and track machine learning models with MLflow in Microsoft Fabric
• Introduction to using Managed Identity to authenticate to Azure OpenAI in Microsoft Foundry Models with .NET
• Manage the semantic model development lifecycle
• Run training scripts and track models with MLflow in Azure Machine Learning
• Manage semantic models in Power BI
• Manage models in AI Builder
• Validate and release product configuration models in Dynamics 365 Supply Chain Management
• Register and manage devices with Connected Customer Service for Dynamics 365 and Azure IoT
• Register and report consumption in Asset Management for Dynamics 365 Supply Chain Management
• Implement security and manage access for Azure Storage