Associate Data Practitioner

By Google · Question Mode

QuestionQ42

Data Analysis and Presentation

You need to build a model that predicts the probability that a customer will click an online advertisement. Historical BigQuery data includes features such as user demographics, ad placement, and prior click behavior. After training the model, you want to produce predictions on new data. Which BigQuery ML model type should you use?

Explanation

Logistic regression is the BigQuery ML model type for binary classification, such as predicting whether a customer will take an action. It can return probabilities for the two classes, making it appropriate for estimating the likelihood of an ad click on new feature data.

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