Google Exam Professional-Machine-Learning-Engineer Topic 10 Question 50 Discussion

Actual exam question for Google's Google Professional Machine Learning Engineer exam

Question #: 50
Topic #: 10

[All Google Professional Machine Learning Engineer Questions]

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?

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

Show Suggested Answer

Suggested Answer: B

https://cloud.google.com/bigquery-ml/docs/introduction

by Yuki at Aug 04, 2022, 01:45 AM

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