Merge pull request #3363 from Albertyang0/2025_03-Monthly-broken-links-fix-ssalgadodev

2025_03 - Fix monthly broken links - ssalgadodev

Author: prmerger-automator[bot]

articles/machine-learning/concept-model-catalog.md

@@ -126,7 +126,7 @@ Deploying a model through MaaS allows users to get access to ready to use infere
 
 ### Fine-tune models through MaaS with Pay-as-you-go 
 
-For models that are available through MaaS and support fine-tuning, users can take advantage of hosted fine-tuning with pay-as-you-go billing to tailor the models using data they provide. For more information, see [fine-tune a Llama 2 model](/azure/ai-foundry/how-to/fine-tune-model-llama) in [Azure AI Foundry portal](https://ai.azure.com/). 
+For models that are available through MaaS and support fine-tuning, users can take advantage of hosted fine-tuning with pay-as-you-go billing to tailor the models using data they provide. For more information, see [fine-tune a Llama 2 model](/azure/ai-services/openai/how-to/fine-tuning) in [Azure AI Foundry portal](https://ai.azure.com/). 
 
 ### RAG with models deployed through MaaS 
 

articles/machine-learning/how-to-deploy-kubernetes-extension.md

@@ -42,7 +42,7 @@ In this article, you can learn:
 - [Using a service principal with AKS](/azure/aks/kubernetes-service-principal) is **not supported** by Azure Machine Learning. The AKS cluster must use a **managed identity** instead. Both **system-assigned managed identity** and **user-assigned managed identity** are supported. For more information, see [Use a managed identity in Azure Kubernetes Service](/azure/aks/use-managed-identity).
     -  When your AKS cluster used service principal is converted to use Managed Identity, before installing the extension, all node pools need to be deleted and recreated, rather than updated directly.
 - [Disabling local accounts](/azure/aks/manage-local-accounts-managed-azure-ad#disable-local-accounts) for AKS is **not supported**  by Azure Machine Learning. When the AKS Cluster is deployed, local accounts are enabled by default.
-- If your AKS cluster has an [Authorized IP range enabled to access the API server](/azure/aks/api-server-authorized-ip-ranges), enable the Azure Machine Learning control plane IP ranges for the AKS cluster. The Azure Machine Learning control plane is deployed across paired regions. Without access to the API server, the machine learning pods can't be deployed. Use the [IP ranges](https://www.microsoft.com/download/confirmation.aspx?id=56519) for both the [paired regions](/azure/reliability/cross-region-replication-azure) when enabling the IP ranges in an AKS cluster.
+- If your AKS cluster has an [Authorized IP range enabled to access the API server](/azure/aks/api-server-authorized-ip-ranges), enable the Azure Machine Learning control plane IP ranges for the AKS cluster. The Azure Machine Learning control plane is deployed across paired regions. Without access to the API server, the machine learning pods can't be deployed. Use the [IP ranges](https://www.microsoft.com/en-us/download/details.aspx?id=56519) for both the [paired regions](/azure/reliability/cross-region-replication-azure) when enabling the IP ranges in an AKS cluster.
 - Azure Machine Learning doesn't support attaching an AKS cluster cross subscription. If you have an AKS cluster in a different subscription, you must first [connect it to Azure-Arc](/azure/azure-arc/kubernetes/quickstart-connect-cluster) and specify in the same subscription as your Azure Machine Learning workspace.
 - Azure Machine Learning doesn't guarantee support for all preview stage features in AKS. For example, [Microsoft Entra pod identity](/azure/aks/use-azure-ad-pod-identity) isn't supported.
 - If you've followed the steps from [Azure Machine Learning AKS v1 document](./v1/how-to-create-attach-kubernetes.md?view=azureml-api-1&preserve-view=true) to create or attach your AKS as inference cluster, use the following link to [clean up the legacy azureml-fe related resources](./v1/how-to-create-attach-kubernetes.md?view=azureml-api-1&preserve-view=true#delete-azureml-fe-related-resources) before you continue the next step.