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add web service module doc
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articles/machine-learning/algorithm-module-reference/web-service-input-output.md

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---
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title: "Web Service Input/Output"
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description: Learn about the web service modules in Azure Machine Learning designer (preview)
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titleSuffix: Azure Machine Learning
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.topic: reference
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author: likebupt
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ms.author: keli19
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ms.date: 04/13/2020
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---
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# Web Service Input/Output
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This article describes **Web Service Input** module and **Web Service Output** module in Azure Machine Learning designer (preview).
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1. When you create a real-time inference pipeline from your training pipeline, **Web Service Input** and **Web Service Output** module will be automatically added to show where user data enters the pipeline and where data is returned.
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Learn more about [create a real-time inference pipeline](https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy#create-a-real-time-inference-pipeline).
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Learn more about [create a real-time inference pipeline](https://docs.microsoft.com/azure/machine-learning/tutorial-designer-automobile-price-deploy#create-a-real-time-inference-pipeline).
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> Note:
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>
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> In the above example, **Enter Data Manually** provides the data schema for web service input and is necessary for deploying the real-time endpoint. Generally, you should always connect a module or dataset to the port which **Web Service Input** is connected to provide the data schema.
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## Next steps
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Learn more about [deploy the real-time endpoint](https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy#deploy-the-real-time-endpoint).
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Learn more about [deploy the real-time endpoint](https://docs.microsoft.com/azure/machine-learning/tutorial-designer-automobile-price-deploy#deploy-the-real-time-endpoint).
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See the [set of modules available](module-reference.md) to Azure Machine Learning.

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