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Merge pull request #257340 from jiaochenlu/update-arc-231103
Update the legacy link in the TSG doc
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articles/machine-learning/how-to-troubleshoot-kubernetes-extension.md

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@@ -91,7 +91,19 @@ This table shows how to troubleshoot the error codes returned by the HealthCheck
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|E45002 | PROMETHEUS_CONFLICT | The Prometheus Operator installed is conflict with your existing Prometheus Operator. For more information, see [Prometheus operator](#prometheus-operator) |
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|E45003 | BAD_NETWORK_CONNECTIVITY | You need to meet [network-requirements](./how-to-access-azureml-behind-firewall.md#scenario-use-kubernetes-compute).|
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|E45004 | AZUREML_FE_ROLE_CONFLICT |Azure Machine Learning extension isn't supported in the [legacy AKS](./how-to-attach-kubernetes-anywhere.md#kubernetescompute-and-legacy-akscompute). To install Azure Machine Learning extension, you need to [delete the legacy azureml-fe components](v1/how-to-create-attach-kubernetes.md#delete-azureml-fe-related-resources).|
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|E45005 | AZUREML_FE_DEPLOYMENT_CONFLICT | Azure Machine Learning extension isn't supported in the [legacy AKS](./how-to-attach-kubernetes-anywhere.md#kubernetescompute-and-legacy-akscompute). To install Azure Machine Learning extension, you need to [delete the legacy azureml-fe components](v1/how-to-create-attach-kubernetes.md#delete-azureml-fe-related-resources).|
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|E45005 | AZUREML_FE_DEPLOYMENT_CONFLICT | Azure Machine Learning extension isn't supported in the [legacy AKS](./how-to-attach-kubernetes-anywhere.md#kubernetescompute-and-legacy-akscompute). To install Azure Machine Learning extension, you need to run the command below this form to delete the legacy azureml-fe components, more detail you can referto [here](v1/how-to-create-attach-kubernetes.md#update-the-cluster).|
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Commands to delete the legacy azureml-fe components in the AKS cluster:
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```shell
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kubectl delete sa azureml-fe
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kubectl delete clusterrole azureml-fe-role
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kubectl delete clusterrolebinding azureml-fe-binding
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kubectl delete svc azureml-fe
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kubectl delete svc azureml-fe-int-http
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kubectl delete deploy azureml-fe
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kubectl delete secret azuremlfessl
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kubectl delete cm azuremlfeconfig
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```
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## Open source components integration
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