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Merge pull request #47750 from yoichinak/patch-20
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articles/machine-learning/how-to-deploy-functions.md

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## Deploy image as a web app
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1. Use the following command to get the login credentials for the Azure Container Registry that contains the image. Replace `<acrinstance>` with the value returned previously from `package.location`:
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1. Use the following command to get the login credentials for the Azure Container Registry that contains the image. Replace `<myacr>` with the value returned previously from `package.location`:
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```azurecli-interactive
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az acr credential show --name <myacr>
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1. Create the storage account to use for the blob trigger storage and get it's connection string. Replace `<triggerStorage>` with the name you want to use.
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```azurecli-interactive
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az storage account create --name triggerStorage --location westeurope --resource-group myresourcegroup --sku Standard_LRS
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az storage account create --name <triggerStorage> --location westeurope --resource-group myresourcegroup --sku Standard_LRS
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```
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```azurecli-interactive
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az storage account show-connection-string --resource-group myresourcegroup --name <triggerStorage> --query connectionString --output tsv
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* Learn more about Blob storage triggers [Azure Blob storage bindings](https://docs.microsoft.com/azure/azure-functions/functions-bindings-storage-blob).
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* [Deploy your model to Azure App Service](how-to-deploy-app-service.md).
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* [Consume a ML Model deployed as a web service](how-to-consume-web-service.md)
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* [API Reference](https://docs.microsoft.com/python/api/azureml-contrib-functions/azureml.contrib.functions?view=azure-ml-py)
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* [API Reference](https://docs.microsoft.com/python/api/azureml-contrib-functions/azureml.contrib.functions?view=azure-ml-py)

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