Answer-first summary for fast verification
Answer: Specify a property named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy property value of the currently registered model., Specify a tag named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy tag value of the currently registered model.
The question requires registering models only if their accuracy is higher than the currently registered model. Options D and E are correct because they both use the accuracy metric to control registration: D uses a property and E uses a tag, both allowing comparison of accuracy values during registration. Option A is incorrect as it doesn't consider accuracy. Option B is incorrect as it registers all models regardless of accuracy. Option C is incorrect because it uses the model framework version, which is unrelated to accuracy and doesn't ensure better performance.
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You are using 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 monthly as new data becomes available. You must register the model for use in a batch inference pipeline and ensure that models from 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.
A
Specify a different name for the model each time you register it.
B
Register the model with the same name each time regardless of accuracy, and always use the latest version of the model in the batch inferencing pipeline.
C
Specify the model framework version when registering the model, and only register subsequent models if this value is higher.
D
Specify a property named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy property value of the currently registered model.
E
Specify a tag named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy tag value of the currently registered model.
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