Exam AI-900 topic 1 question 28 discussion

Correct answer is provided

B is the answer. https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/2-regression-scenarios Regression is a form of machine learning used to understand the relationships between variables to predict a desired outcome. Regression predicts a numeric label or outcome based on variables, or features. For example, an automobile sales company might use the characteristics of a car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price. In this case, the characteristics of the car are the features, and the selling price is the label.

linear regression

Answer is correct

Regression

Correct https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml?view=azureml-api-2#predicted-vs-true

Answer is B

correct

We are predicting a continuous numerical variable so answer must be Regression

Correct answer - B

B is correct answer. Regression Model

B is correct answer. Regression

B is correct

B is correct

Appeared in today exam, 04/13/2022

Appeared on exam: 03/31/2022. Answer is correct!

Regression - To predict a numeric value, use a regression model. Correlate labelled data into continuous versatile numbers