DP-100 Question #206: Real Exam Question with Answer & Explanation

Question

You use the Azure Machine Learning SDK to run a training experiment that trains a classification model and calculates its accuracy metric. The model will be retrained each month as new data is available. You must register the model for use in a batch inference pipeline. You need to register the model and ensure that the models created by subsequent retraining experiments are registered only if their accuracy is higher than the currently registered model. What are two possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options

• ASpecify a different name for the model each time you register it.
• BRegister the model with the same name each time regardless of accuracy, and always use the
• CSpecify the model framework version when registering the model, and only register subsequent
• DSpecify a property named accuracy with the accuracy metric as a value when registering the
• ESpecify a tag named accuracy with the accuracy metric as a value when registering the model,