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articles/machine-learning/how-to-authenticate-batch-endpoint.md

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# [Azure CLI](#tab/cli)
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1. Create a secret to use for authentication as explained at [Option 32: Create a new application secret](../active-directory/develop/howto-create-service-principal-portal.md#option-3-create-a-new-application-secret).
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1. Create a secret to use for authentication as explained at [Option 32: Create a new client secret](../active-directory/develop/howto-create-service-principal-portal.md#option-3-create-a-new-client-secret).
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1. To authenticate using a service principal, use the following command. For more details see [Sign in with Azure CLI](/cli/azure/authenticate-azure-cli).
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```azurecli
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# [Python](#tab/sdk)
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1. Create a secret to use for authentication as explained at [Option 3: Create a new application secret](../active-directory/develop/howto-create-service-principal-portal.md#option-3-create-a-new-application-secret).
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1. Create a secret to use for authentication as explained at [Option 3: Create a new client secret](../active-directory/develop/howto-create-service-principal-portal.md#option-3-create-a-new-client-secret).
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1. To authenticate using a service principal, indicate the tenant ID, client ID and client secret of the service principal using environment variables as demonstrated:
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```python
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# [REST](#tab/rest)
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1. Create a secret to use for authentication as explained at [Option 3: Create a new application secret](../active-directory/develop/howto-create-service-principal-portal.md#option-3-create-a-new-application-secret).
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1. Create a secret to use for authentication as explained at [Option 3: Create a new client secret](../active-directory/develop/howto-create-service-principal-portal.md#option-3-create-a-new-client-secret).
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1. Use the login service from Azure to get an authorization token. Authorization tokens are issued to a particular scope. The resource type for Azure Machine Learning is `https://ml.azure.com`. The request would look as follows:
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