Google Cloud Professional Machine Learning Engineer — Question 12

You need to build classification workflows over several structured datasets currently stored in BigQuery. Because you will be performing the classification several times, you want to complete the following steps without writing code: exploratory data analysis, feature selection, model building, training, and hyperparameter tuning and serving. What should you do?

Answer options

• A. Configure AutoML Tables to perform the classification task.
• B. Run a BigQuery ML task to perform logistic regression for the classification.
• C. Use AI Platform Notebooks to run the classification model with pandas library.
• D. Use AI Platform to run the classification model job configured for hyperparameter tuning.

Correct answer: A

Explanation

The correct answer is A because AutoML Tables allows users to automate the entire machine learning workflow, including exploratory data analysis, feature selection, model training, and hyperparameter tuning without needing to write code. Options B, C, and D involve either coding or specific tasks that do not encompass the full automation that AutoML Tables provides.