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Question 20 - DP-100 discussion
You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning service to train a model that identifies fraudulent transactions.
You must deploy the model as an Azure Machine Learning real-time web service using the Model.deploy method in the Azure Machine Learning SDK. The deployed web service must return real-time predictions of fraud based on transaction data input.
You need to create the script that is specified as the entry_script parameter for the InferenceConfig class used to deploy the model.
What should the entry script do?
A.
Register the model with appropriate tags and properties.
B.
Create a Conda environment for the web service compute and install the necessary Python packages.
C.
Load the model and use it to predict labels from input data.
D.
Start a node on the inference cluster where the web service is deployed.
E.
Specify the number of cores and the amount of memory required for the inference compute.
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