Run model training scripts: Define parameters for a job

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

• Automate model training with GitHub Actions
• Run training scripts and track models with MLflow in Azure Machine Learning
• Define input and output parameters in Power Automate
• Optimize generative AI model performance with Microsoft Foundry
• Create DAX calculations in semantic models
• Train and track machine learning models with MLflow in Microsoft Fabric
• Enforce Power BI model security
• Introduction to using Managed Identity to authenticate to Azure OpenAI in Microsoft Foundry Models with .NET
• Manage the semantic model development lifecycle
• Optimize semantic model performance