AutoML 2.0: Label column from training data in output schema

Nightly build in use on .NET 7.0

Q: Should AutoML 2.0 drop the original label to predict and sampling key column ?

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I am using one of the apps from machinelearning-samples repo for AutoML2.0

I set a column "Person" as sampling key. Then I set "Result" as the label to predict.
After training the model and inspecting the output, I can see there are columns PredictedLabel and Resulted, as well as Person.

I believe the Resulted and Person maybe should be dropped from output schema so users of the model will not be confused.

Should it by done by AutoML? I do not know, but old version of AutoML dropped these colums