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articles/machine-learning/how-to-run-batch-predictions-designer.md

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@@ -110,7 +110,7 @@ You can visually manage any endpoints you create in Azure Machine Learning. In t
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1. Select **Run** to run the pipeline.
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## Consume endpoints
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## Consume an endpoint
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You can find information on how to consume pipeline endpoints and published pipeline in the **Endpoints** section.
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To make a REST call, you will need an OAuth 2.0 bearer-type authentication header. See the following [tutorial section](tutorial-pipeline-batch-scoring-classification.md#publish-and-run-from-a-rest-endpoint) for more detail on setting up authentication to your workspace and making a parameterized REST call.
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## Versioning endpoints
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The designer assigns a version to each pipeline that you publish to an endpoint. You can specify the pipeline version that you want to execute as a parameter in your REST endpoint call.
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When you publish a pipeline, you can choose to make it the new default pipeline for that endpoint.
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![Set default pipeline](./media/how-to-run-batch-predictions-designer/set-default-pipeline.png)
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You can also set a new default pipeline in the Endpoints section.
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## Next steps
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