Exam Professional Machine Learning Engineer topic 1 question 156 discussion

Vertex AutoML Tables is a managed service specifically designed for building machine learning models from structured data in BigQuery, all without writing code. It automates various stages of the machine learning pipeline, including: Exploratory data analysis: AutoML Tables performs basic data understanding to identify potential issues. Feature selection: It can automatically select relevant features for model training. Model building: AutoML Tables trains and evaluates various machine learning models and chooses the best performing one for classification. Hyperparameter tuning: It automatically tunes hyperparameters to optimize model performance. Serving: You can deploy the trained model for making predictions on new data.

B, since it's specifying without writing code

No writing Code. Option B.

AutoML -> No writing code

B With automl we don’t write any line of code

B is correct. A and D imply writing code in TF and Sklearn respectively. C is writing BQML code for logistic regression as well. Furthermore, how would you do the EDA and feature selection etc. without writing code? AutoML is THE codeless solution automating all the steps mentioned above. https://cloud.google.com/automl?hl=en

A and D would require writing code. C. would also imply some “code writing” in BigQuery ML I would go with B.

B "without writing code"