Free DP-100 Web TestEngine Demo

Q18 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 online endpoint by using the Azure Machine Learning Python SDK v2. The deployed model must return real-time predictions of fraud based on transaction data input.

You need to create the script that is specified as the scoring_script parameter for the CodeConfiguration 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 online endpoint 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 model is deployed.
E
Specify the number of cores and the amount of memory required for the online endpoint compute.

DP-100 Web TestEngine demo