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You're preparing data for your machine learning gcp video

data-engineer-pro video for you're preparing data for your machine learning team to train a model using BigQueryML. The objective is to predict the price per

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Full Certification Question

You're preparing data for your machine learning team to train a model using BigQueryML. The objective is to predict the price per square foot of real estate. The training data includes columns for price and square footage. However, the 'feature1' column contains null values due to missing data. To retain more data points, you aim to replace the nulls with zeros. Which query should you use?