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Merge pull request #3212 from msakande/patch-5
Update how-to-authenticate-batch-endpoint.md
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articles/machine-learning/how-to-authenticate-batch-endpoint.md

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@@ -351,13 +351,15 @@ To configure the compute cluster for data access, follow these steps:
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1. Go to [Azure Machine Learning studio](https://ml.azure.com).
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1. Navigate to __Compute__, then __Compute clusters__, and select the compute cluster your deployment is using.
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1. Navigate to __Compute__, then __Compute clusters__.
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1. Select the compute cluster your deployment is using. This action opens the compute cluster's __Details__ page.
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1. Assign a managed identity to the compute cluster:
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1. In the __Managed identity__ section, verify if the compute has a managed identity assigned. If not, select the option __Edit__.
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1. Go to the __Managed identity__ section of the page and verify if the compute has a managed identity assigned. If not, select the pencil icon to edit the managed identity.
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1. Select __Assign a managed identity__ and configure it as needed. You can use a System-Assigned Managed Identity or a User-Assigned Managed Identity. If using a System-Assigned Managed Identity, it is named as "[workspace name]/computes/[compute cluster name]".
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1. Select the slider next to __Assign a managed identity__ to enable and configure it as needed. You can use a System-Assigned Managed Identity or a User-Assigned Managed Identity. If using a System-Assigned Managed Identity, it is named as "[workspace name]/computes/[compute cluster name]".
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1. Save the changes.
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