<ul><li>MLflow can integrate with Azure AD OAuth 2.0 for authentication.</li><li>The steps to get authorized access include generating a Client Secret and assigning API Permissions.</li><li>MLflow can also use Managed Identity for seamless authentication when running on Azure VMs, AKS, or App Service.</li><li>If using MLflow Python client or Azure Machine Learning, authentication can be done using Azure AD tokens.</li></ul>

What are the ways to get authorized access to mlflow through Azure Active Directory?

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