Microsoft Azure AI Fundamentals AI-900 Practice Question

Features: Age, Education Level, Years of Experience; Label: Salary - This is the correct answer. In this scenario, the features are the input variables used to predict the target, which is the 'Salary'. So, 'Age', 'Education Level', and 'Years of Experience' are the features, and 'Salary' is the label (the variable you're trying to predict).

Features: Salary; Label: Age, Education Level, Years of Experience - This is incorrect because 'Salary' is the target variable, not a feature used to predict other variables.

Features: Age, Salary, Education Level, Years of Experience; Label: Salary - This is incorrect because 'Salary' is the target variable, and it should not be included as a feature when you're predicting it.

Features: Age, Education Level; Label: Salary, Years of Experience - This is incorrect because 'Salary' is the target variable, and you should not treat multiple columns (like both 'Salary' and 'Years of Experience') as labels.