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Fix articles/machine-learning/how-to-deploy-kubernetes-extension.md #458

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Fix articles/machine-learning/how-to-deploy-kubernetes-extension.md #458

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2 changes: 1 addition & 1 deletion articles/machine-learning/how-to-deploy-kubernetes-extension.md
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Expand Up @@ -100,7 +100,7 @@ We list four typical extension deployment scenarios for reference. To deploy ext

For Azure Machine Learning extension deployment on AKS cluster, make sure to specify `managedClusters` value for `--cluster-type` parameter. Run the following Azure CLI command to deploy Azure Machine Learning extension:
```azurecli
az k8s-extension create --name <extension-name> --extension-type Microsoft.AzureML.Kubernetes --config enableTraining=True enableInference=True inferenceRouterServiceType=LoadBalancer allowInsecureConnections=True InferenceRouterHA=False --cluster-type managedClusters --cluster-name <your-AKS-cluster-name> --resource-group <your-RG-name> --scope cluster
az k8s-extension create --name <extension-name> --extension-type Microsoft.AzureML.Kubernetes --config enableTraining=True enableInference=True inferenceRouterServiceType=LoadBalancer allowInsecureConnections=True inferenceRouterHA=False --cluster-type managedClusters --cluster-name <your-AKS-cluster-name> --resource-group <your-RG-name> --scope cluster
```

- **Use Arc Kubernetes cluster outside of Azure for a quick proof of concept, to run training jobs only**
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