MLA-C01 Question #215: Real Exam Question with Answer & Explanation

Question

An ML engineer at an insurance company trains a regression model to predict the number of insurance policy sales each month. After training the model, the ML engineer uses Amazon SageMaker AI to deploy the model for inference. The ML engineer wants to monitor the model predictions to detect whether the production data distribution differs from the training data distribution when there are changes in customer behaviors. Which solution will meet these requirements?

Options

• ADetermine whether there is drift in the data quality.
• BDetermine whether there is drift in the model quality.
• CDetermine whether there is drift in the model bias.
• DDetermine whether there is drift in the feature attribution.