PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #178
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #178: Real Exam Question with Answer & Explanation
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Question
You are working with a dataset that contains customer transactions. You need to build an ML model to predict customer purchase behavior. You plan to develop the model in BigQuery ML, and export it to Cloud Storage for online prediction. You notice that the input data contains a few categorical features, including product category and payment method. You want to deploy the model as quickly as possible. What should you do?
Options
- AUse the TRANSFORM clause with the ML.ONE_HOT_ENCODER function on the categorical
- BUse the ML.ONE_HOT_ENCODER function on the categorical features and select the encoded
- CUse the CREATE MODEL statement and select the categorical and non-categorical features.
- DUse the ML.MULTI_HOT_ENCODER function on the categorical features, and select the
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