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minor fix to add SDK
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articles/machine-learning/concept-endpoints.md

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@@ -48,7 +48,7 @@ Azure Machine Learning uses the concept of endpoints and deployments to implemen
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### Multiple developer interfaces
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Create and manage batch and online endpoints with multiple developer tools:
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- The Azure CLI
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- The Azure CLI and the Python SDK
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- Azure Resource Manager/REST API
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- Azure Machine Learning studio web portal
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- Azure portal (IT/Admin)
@@ -70,7 +70,7 @@ To create an online endpoint, you need to specify the following elements:
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- Environment - a Docker image with Conda dependencies, or a dockerfile
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- Compute instance & scale settings
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Learn how to deploy online endpoints from the [CLI](how-to-deploy-online-endpoints.md) and the [studio web portal](how-to-use-managed-online-endpoint-studio.md).
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Learn how to deploy online endpoints from the [CLI/SDK](how-to-deploy-online-endpoints.md) and the [studio web portal](how-to-use-managed-online-endpoint-studio.md).
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### Test and deploy locally for faster debugging
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