Fix URL

docs.microsoft.com -> learn.microsoft.com

Author: changeworld

articles/ai-foundry/how-to/azure-policy.md

@@ -33,12 +33,12 @@ The following table lists the built-in policies that apply to both Azure AI Foun
 |[Computes should have local authentication methods disabled](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Fe96a9a5f-07ca-471b-9bc5-6a0f33cbd68f) |Disabling local authentication methods improves security by ensuring that computes require Microsoft Entra ID identities exclusively for authentication. Learn more at: [https://aka.ms/azure-ml-aad-policy](https://aka.ms/azure-ml-aad-policy). |Audit, Deny, Disabled |[2.1.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/DisableLocalAuth_Audit.json) |
 |[Hubs should be encrypted with a customer-managed key](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Fba769a63-b8cc-4b2d-abf6-ac33c7204be8) |Manage encryption at rest of data with customer-managed keys. By default, customer data is encrypted with service-managed keys, but customer-managed keys are commonly required to meet regulatory compliance standards. Customer-managed keys enable the data to be encrypted with an Azure Key Vault key created and owned by you. You have full control and responsibility for the key lifecycle, including rotation and management. Learn more at [https://aka.ms/azureml-workspaces-cmk](https://aka.ms/azureml-workspaces-cmk). |Audit, Deny, Disabled |[1.1.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_CMKEnabled_Audit.json) |
 |[Hubs should disable public network access](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F438c38d2-3772-465a-a9cc-7a6666a275ce) |Disabling public network access improves security by ensuring that hubs and projects aren't exposed on the public internet. You can control exposure of your workspaces by creating private endpoints instead. Learn more at: [https://learn.microsoft.com/azure/ai-studio/how-to\configure-private-link](configure-private-link.md). |Audit, Deny, Disabled |[2.0.1](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PublicNetworkAccessDisabled_Audit.json) |
-|[Hubs should use private link](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F45e05259-1eb5-4f70-9574-baf73e9d219b) |Azure Private Link lets you connect your virtual network to Azure services without a public IP address at the source or destination. The Private Link platform handles the connectivity between the consumer and services over the Azure backbone network. By mapping private endpoints to hubs, data leakage risks are reduced. Learn more about private links at: [https://docs.microsoft.com/azure/ai-studio/how-to/configure-private-link](configure-private-link.md). |Audit, Disabled |[1.0.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PrivateEndpoint_Audit_V2.json) |
+|[Hubs should use private link](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F45e05259-1eb5-4f70-9574-baf73e9d219b) |Azure Private Link lets you connect your virtual network to Azure services without a public IP address at the source or destination. The Private Link platform handles the connectivity between the consumer and services over the Azure backbone network. By mapping private endpoints to hubs, data leakage risks are reduced. Learn more about private links at: [https://learn.microsoft.com/azure/ai-studio/how-to/configure-private-link](configure-private-link.md). |Audit, Disabled |[1.0.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PrivateEndpoint_Audit_V2.json) |
 |[Hubs should use user-assigned managed identity](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F5f0c7d88-c7de-45b8-ac49-db49e72eaa78) |Manage access to hubs and associated resources, Azure Container Registry, KeyVault, Storage, and App Insights using user-assigned managed identity. By default, system-assigned managed identity is used by a hub to access the associated resources. User-assigned managed identity allows you to create the identity as an Azure resource and maintain the life cycle of that identity. |Audit, Deny, Disabled |[1.0.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_UAIEnabled_Audit.json) |
 |[Computes to disable local authentication methods](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Fa6f9a2d0-cff7-4855-83ad-4cd750666512) |Disable location authentication methods so that your computes require Microsoft Entra ID identities exclusively for authentication. Learn more at: [https://aka.ms/azure-ml-aad-policy](https://aka.ms/azure-ml-aad-policy). |Modify, Disabled |[2.1.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/DisableLocalAuth_Modify.json) |
 |[Configure hubs to use private DNS zones](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Fee40564d-486e-4f68-a5ca-7a621edae0fb) |Use private DNS zones to override the DNS resolution for a private endpoint. A private DNS zone links to your virtual network to resolve to Azure AI Foundry hubs. |DeployIfNotExists, Disabled |[1.1.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PrivateDnsZones_DINE.json) |
 |[Configure hubs to disable public network access](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Fa10ee784-7409-4941-b091-663697637c0f) |Disable public network access for hubs and projects so that they aren't accessible over the public internet. This helps protect the workspaces against data leakage risks. You can control exposure of your workspaces by creating private endpoints instead. Learn more at: [https://learn.microsoft.com/azure/ai-studio/how-to/configure-private-link](configure-private-link.md). |Modify, Disabled |[1.0.3](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PublicNetworkAccessDisabled_Modify.json) |
-|[Configure Azure hubs with private endpoints](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F7838fd83-5cbb-4b5d-888c-bfa240972597) |Private endpoints connect your virtual network to Azure services without a public IP address at the source or destination. By mapping private endpoints to your hub, you can reduce data leakage risks. Learn more about private links at: [https://docs.microsoft.com/azure/ai-studio/how-to/configure-private-link](configure-private-link.md). |DeployIfNotExists, Disabled |[1.0.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PrivateEndpoint_DINE.json) |
+|[Configure Azure hubs with private endpoints](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2F7838fd83-5cbb-4b5d-888c-bfa240972597) |Private endpoints connect your virtual network to Azure services without a public IP address at the source or destination. By mapping private endpoints to your hub, you can reduce data leakage risks. Learn more about private links at: [https://learn.microsoft.com/azure/ai-studio/how-to/configure-private-link](configure-private-link.md). |DeployIfNotExists, Disabled |[1.0.0](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/Workspace_PrivateEndpoint_DINE.json) |
 |[Configure diagnostic settings for hubs to Log Analytics workspace](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Ff59276f0-5740-4aaf-821d-45d185aa210e) |Deploys the diagnostic settings for Azure AI Foundry hubs to stream resource logs to a Log Analytics Workspace when any hub which is missing this diagnostic setting is created or updated. |DeployIfNotExists, Disabled |[1.0.1](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/AuditDiagnosticLog_DINE.json) |
 |[Resource logs in hubs should be enabled](https://portal.azure.com/#blade/Microsoft_Azure_Policy/PolicyDetailBlade/definitionId/%2Fproviders%2FMicrosoft.Authorization%2FpolicyDefinitions%2Fafe0c3be-ba3b-4544-ba52-0c99672a8ad6) |Resource logs enable recreating activity trails to use for investigation purposes when a security incident occurs or when your network is compromised. |AuditIfNotExists, Disabled |[1.0.1](https://github.com/Azure/azure-policy/blob/master/built-in-policies/policyDefinitions/Machine%20Learning/AuditDiagnosticLog_Audit.json) |
 

articles/machine-learning/prompt-flow/how-to-enable-trace-feedback-for-deployment.md

@@ -121,7 +121,7 @@ trace.set_tracer_provider(TracerProvider())
 # The example below assumes JSON formatting which may be updated
 # depending on the format your endpoint expects.
 # More information can be found here:
-# https://docs.microsoft.com/azure/machine-learning/how-to-deploy-advanced-entry-script
+# https://learn.microsoft.com/azure/machine-learning/how-to-deploy-advanced-entry-script
 data = {
     "question": "hello",
     "chat_history": []