PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #82
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #82: Real Exam Question with Answer & Explanation
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Question
You need to train a regression model based on a dataset containing 50,000 records that is stored in BigQuery. The data includes a total of 20 categorical and numerical features with a target variable that can include negative values. You need to minimize effort and training time while maximizing model performance. What approach should you take to train this regression model?
Options
- ACreate a custom TensorFlow DNN model
- BUse BQML XGBoost regression to train the model.
- CUse AutoML Tables to train the model without early stopping.
- DUse AutoML Tables to train the model with RMSLE as the optimization objective.
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