Exam AI-900 topic 1 question 155 discussion

D is the answer. https://learn.microsoft.com/en-us/training/modules/use-automated-machine-learning/5-machine-learning-steps You can think of the steps in a machine learning process as: - Prepare data: Identify the features and label in a dataset. Pre-process, or clean and transform, the data as needed. - Train model: Split the data into two groups, a training and a validation set. Train a machine learning model using the training data set. Test the machine learning model for performance using the validation data set. - Evaluate performance: Compare how close the model's predictions are to the known labels. - Deploy a predictive service: After you train a machine learning model, you can deploy the model as an application on a server or device so that others can use it.

given answer is correct. After testing your data you can evaluate the results

D. After you test a model on the validation data.

Technically, isn't B correct as well? Unless they mean DIRECTLY after cleaning the data.

in this case, (evaluation = validation)

d is correct