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articles/machine-learning/prompt-flow/how-to-manage-compute-session.md

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@@ -77,8 +77,8 @@ One flow binds to one compute session. You can start a compute session on a flow
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|Azure Machine Learning workspace|Contributor|
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|Azure Storage|Contributor (control plane) + Storage Blob Data Contributor + Storage File Data Privileged Contributor (data plane, consume flow draft in fileshare and data in blob)|
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|Azure Key Vault (when using [access policies permission model](../../key-vault/general/assign-access-policy.md))|Contributor + any access policy permissions besides **purge** operations, this is `default mode` for linked Azure Key Vault.|
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|Azure Key Vault (when using [RBAC permission model](../../key-vault/general/rbac-guide.md))|Contributor (control plane) + Key Vault Administrator (data plane)|
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|Azure Key Vault (when using [access policies permission model](../../key-vault/general/assign-access-policy.md))|Contributor + any access policy permissions besides **purge** operations|
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|Azure Container Registry|Contributor|
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|Azure Application Insights|Contributor|
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articles/machine-learning/prompt-flow/troubleshoot-guidance.md

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@@ -271,6 +271,10 @@ If you encounter an error like "Access denied to list workspace secret", check w
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### How do I use credential-less datastore in prompt flow?
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To use credential-less storage in Azure AI studio. You need basically do following things:
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- Change the data store auth type to None.
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- Grant project MSI and user blob/file data contributor permission on storage.
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#### Change auth type of datastore to None
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You can follow [Identity-based data authentication](../how-to-administrate-data-authentication.md#identity-based-data-authentication) this part to make your datastore credential-less.

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