Microsoft
DP-100 · Question #314
Drag and Drop Question You train and register a model by using the Azure Machine Learning SDK on a local workstation. Python 3.6 and Visual Studio Code are installed on the workstation. When you try t
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Train and deploy models
Question
Drag and Drop Question You train and register a model by using the Azure Machine Learning SDK on a local workstation. Python 3.6 and Visual Studio Code are installed on the workstation. When you try to deploy the model into production as an Azure Kubernetes Service (AKS)-based web service, you experience an error in the scoring script that causes deployment to fail. You need to debug the service on the local workstation before deploying the service to production. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer:
Exhibit
Answer Area
Drag items
Create an AksWebservice deployment configuration for the service and deploy the model to itInstall Docker on the workstationCreate a LocalWebservice deployment configuration for the service and deploy the model to itDebug and modify the scoring script as necessary. Use the reload() method of the service after each modificationCreate an AksWebservice deployment configuration for the service and deploy the model to it
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Topics
#Azure Machine Learning#Model Deployment#Local Debugging#Scoring Script