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Copy file name to clipboardExpand all lines: articles/machine-learning/prompt-flow/how-to-deploy-for-real-time-inference.md
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@@ -95,7 +95,7 @@ If the checkbox is selected, the first row of your input data will be used as sa
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### Outputs
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In this step, you can view all flow outputs, and specify which outputs will be included in the response of the endpoint you deploy.
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In this step, you can view all flow outputs, and specify which outputs will be included in the response of the endpoint you deploy. By default all flow outputs are selected.
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:::image type="content" source="./media/how-to-deploy-for-real-time-inference/deploy-wizard-outputs.png" alt-text="Screenshot of the outputs step in the deploy wizard." lightbox = "./media/how-to-deploy-for-real-time-inference/deploy-wizard-outputs.png":::
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@@ -143,7 +143,7 @@ For **System-assigned** identity:
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|Resource|Role|Why it's needed|
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|---|---|---|
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|Azure Machine Learning Workspace|**AzureML Data Scientist** role **OR** a customized role with “Microsoft.MachineLearningServices/workspaces/connections/listsecrets/action” | Get workspace connections. |
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|(Optional) Workspace default storage|* Storage Blob Data Contributor<br> * Storage Table Data Contributor| Enable tracing data including node level outputs/trace/logs when performing inference. Currently it's not required.|
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For **User-assigned** identity:
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@@ -153,7 +153,7 @@ For **User-assigned** identity:
|Workspace default storage| Storage Blob Data Reader| Load model from storage |
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|(Optional) Azure Machine Learning Workspace|Workspace metrics writer| After you deploy then endpoint, if you want to monitor the endpoint related metrics like CPU/GPU/Disk/Memory utilization, you need to give this permission to the identity.|
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|(Optional) Workspace default storage|Storage Blob Data Contributor<br> Storage Table Data Contributor| Enable tracing data including node level outputs/trace/logs when performing inference. Currently it's not required.|
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To grant permissions to the endpoint identity, there are two ways:
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