AB-731 Certification Practice Question #5

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?

Accepted Answer

The machine-learning lifecycle always begins with data preparation — ingesting, structuring, splitting, and validating data into the required format — before training, tuning, evaluation, or deployment. The "consistent and uniform" caveat is a distractor: AutoML still requires the data be shaped into a valid MLTable/tabular form first. Suggested Answer, a 6-vote community, and MS Learn agree on A.

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