如何从 ML OP 访问 Key Vault

Question

我在 Azure ML 工作区中运行了 ml 代码。使用 Azure MLops 管道通过推理集群部署 Aks 集群部署的 vnet 相同的代码。 创建密钥库是为了存储在 jupyter notebook 中访问的变量

While testing the endpoint from Postman getting "managedidentitycredential.get_token failed: managedidentitycredential authentication unavailable, no managed identity endpoint found" error.

In code, trying to access key-vault variables by the below method.
credentials = DefaultAzureCredential()
client = SecretClient(vault_url="url", credential=credentials)
access_key = client.get_secret("KEY").value

Please help, how to access key vault here? 

Thanks.

Answer 1

请参阅此示例中的“在远程运行中使用机密”部分以访问 Key Vault。

https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/manage-azureml-service/authentication-in-azureml/authentication-in-azureml.ipynb

使用 Azure 门户为 VM 上的 Azure 资源配置托管标识： https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/qs-configure-portal-windows-vm