DP-100 Exam Dumps | You are a data scientist working for a bank and have used Azure ML to train and register a machine learning

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Question 96/204

You are a data scientist working for a bank and have used Azure ML to train and register a machine learning model that predicts whether a customer is likely to repay a loan.
You want to understand how your model is making selections and must be sure that the model does not violate government regulations such as denying loans based on where an applicant lives.
You need to determine the extent to which each feature in the customer data is influencing predictions.
What should you do?

A. Enable data drift monitoring for the model and its training dataset.

B. Score the model against some test data with known label values and use the results to calculate aconfusion matrix.

C. Use the Hyperdrive library to test the model with multiple hyperparameter values.

D. Use the interpretability package to generate an explainer for the model.

E. Add tags to the model registration indicating the names of the features in the training dataset.

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