Question
You need to create a custom Azure Machine Learning model. The data used to train the model is consistent and uniform.
What should you do first?
- A. Prepare the training data. Correct
- B. Evaluate the model.
- C. Train the model.
- D. Tune hyperparameters.
- E. Deploy the model.
Explanation
A model is trained from data, so the training data must be prepared and made available first, even when it is already consistent and uniform. It still has to be selected, structured and split for training and validation. Training cannot start until that data is ready. Tuning hyperparameters and evaluating the model happen during or after training, and deployment comes last.
