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articles/machine-learning/how-to-use-batch-endpoints-studio.md

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@@ -6,10 +6,10 @@ services: machine-learning
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ms.service: machine-learning
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ms.subservice: mlops
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ms.topic: how-to
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author: shivanissambare
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ms.author: ssambare
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author: santiagxf
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ms.author: fasantia
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ms.reviewer: larryfr
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ms.date: 04/26/2022
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ms.date: 08/03/2022
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ms.custom: how-to, studio, managed-batch-endpoints, event-tier1-build-2022
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---
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> * Start a batch scoring job
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> * Overview of batch endpoint features in Azure machine learning studio
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> [!IMPORTANT]
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> When working on a private link-enabled workspaces, batch enpoints can be created and managed using Azure Machine Learning studio. However, they can't be invoked from the UI. Please use the [Azure ML CLI v](how-to-configure-cli.md) instead for job creation. For more details about how to use it see [Invoke the batch endpoint to start a batch scoring job](how-to-use-batch-endpoint.md#invoke-the-batch-endpoint-to-start-a-batch-scoring-job).
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## Prerequisites
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### Summary of all submitted jobs
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To see a summary of all the submitted jobs for an endpoint, select the endpoint and then select the **Jobs** tab.
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To see a summary of all the submitted jobs for an endpoint, select the endpoint and then select the **Runs** tab.
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:::image type="content" source="media/how-to-use-batch-endpoints-studio/summary-jobs.png" alt-text="Screenshot of summary of jobs submitted to a batch endpoint":::
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## Check batch scoring results

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