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Update azure-machine-learning-release-notes.md
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articles/machine-learning/azure-machine-learning-release-notes.md

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@@ -70,14 +70,13 @@ The designer is now generally available.
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+ Added `Set as Default` pipeline option in the [Endpoints tab](how-to-run-batch-predictions-designer.md#versioning-endpoints).
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+ Added keyboard shortcuts and screen reader [accessibility features](designer-accessibility.md).
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## 2020-01-06
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### Azure Machine Learning SDK for Python v1.0.83
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+ **New features**
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+ Dataset: Add two options `on_error` and `out_of_range_datetime` for `to_pandas_dataframe` to fail when data has error values instead of filling them with `None`.
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+ Workspace: Added the `hbi_workspace` flag for workspaces with sensitive data that enables further encryption and disables advanced diagnostics on workspaces. We also added support for bringing your own keys for the associated Cosmos DB instance, by specifying the `cmk_keyvault` and `resource_cmk_uri` parameters when creating a workspace, which creates a Cosmos DB instance in your subscription while provisioning your workspace. [Read more here.](https://docs.microsoft.com/en-us/azure/machine-learning/concept-enterprise-security#azure-cosmos-db)
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+ Workspace: Added the `hbi_workspace` flag for workspaces with sensitive data that enables further encryption and disables advanced diagnostics on workspaces. We also added support for bringing your own keys for the associated Cosmos DB instance, by specifying the `cmk_keyvault` and `resource_cmk_uri` parameters when creating a workspace, which creates a Cosmos DB instance in your subscription while provisioning your workspace. [Read more here.](https://docs.microsoft.com/azure/machine-learning/concept-enterprise-security#azure-cosmos-db)
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+ **Bug fixes and improvements**
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+ **azureml-automl-runtime**

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