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Modules/M02-deploy-model-batch-endpoint
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learn-pr/wwl-azure/deploy-model-batch-endpoint/1-introduction.yml

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description: "Introduction"
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learn-pr/wwl-azure/deploy-model-batch-endpoint/2-explore-batch-endpoints.yml

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learn-pr/wwl-azure/deploy-model-batch-endpoint/3-deploy-your-mlflow-model-batch-endpoint.yml

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description: "Deploy your MLflow model to a batch endpoint"
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learn-pr/wwl-azure/deploy-model-batch-endpoint/4-deploy-custom-model-batch-endpoint.yml

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learn-pr/wwl-azure/deploy-model-batch-endpoint/5-monitor-batch-endpoints.yml

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description: "Invoke and troubleshoot batch endpoints"
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learn-pr/wwl-azure/deploy-model-batch-endpoint/6-exercise-deploy-mlflow-model-batch-endpoint.yml

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learn-pr/wwl-azure/deploy-model-batch-endpoint/7-knowledge-check.yml

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learn-pr/wwl-azure/deploy-model-batch-endpoint/8-summary.yml

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learn-pr/wwl-azure/deploy-model-batch-endpoint/includes/1-introduction.md

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Imagine you trained a model to predict the product sales. The model has been trained and tracked in Azure Machine Learning. Every month, you want to use the model to forecast the sales for the upcoming month.
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In many production scenarios, long-running tasks that deal with on large amounts of data are performed as **batch** operations. In machine learning, ***batch inferencing*** is used to asynchronously apply a predictive model to multiple cases and write the results to a file or database.
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In many production scenarios, long-running tasks that deal with large amounts of data are performed as **batch** operations. In machine learning, ***batch inferencing*** is used to asynchronously apply a predictive model to multiple cases and write the results to a file or database.
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:::image type="content" source="../media/07-02-batch.png" alt-text="Diagram showing a batch inferencing service triggering a batch scoring job.":::
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learn-pr/wwl-azure/deploy-model-batch-endpoint/index.yml

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