Free DP-100 Web TestEngine Demo

Q63 Single choice

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.

DP-100 Web TestEngine demo