Run model training scripts: Use logs to troubleshoot job run errors

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
• Troubleshoot scripts and handle errors in Windows PowerShell
• Design a health model for your mission-critical workload
• Troubleshoot issues signing into Microsoft Teams
• Troubleshoot audio, video, and client issues
• Train and track machine learning models with MLflow in Microsoft Fabric
• Troubleshooting Surface Portal access issues
• Enforce Power BI model security
• Introduction to using Managed Identity to authenticate to Azure OpenAI in Microsoft Foundry Models with .NET