Exam Associate Data Practitioner topic 1 question 1 discussion

The best option is B. Option B is best because it correctly selects all columns as features except the churned column, and then explicitly designates the churned column as the label for BigQuery ML, which is required for training. Option A (SELECT *) is incorrect because while it includes the churned column, it doesn't explicitly define it as the label. Option C (SELECT * EXCEPT(churned)) is incorrect because it excludes the target churned column, which is essential for training a supervised model. Option D (SELECT churned as label) is incorrect because it only selects the label and excludes all feature columns needed for prediction. Therefore, Option B is the only query that correctly sets up the data for BigQuery ML logistic regression training.

You can use SELECT * EXCEPT (foo) and SELECT foo AS bar.