Question 196 of 280
Single answerYou work as an analyst at a large banking firm. You are developing a robust scalable ML pipeline to tram several regression and classification models. Your primary focus for the pipeline is model interpretability. You want to productionize the pipeline as quickly as possible. What should you do?
AUse Tabular Workflow for Wide & Deep through Vertex AI Pipelines to jointly train wide linear models and deep neural networks
BUse Google Kubernetes Engine to build a custom training pipeline for XGBoost-based models
✓CUse Tabular Workflow for TabNet through Vertex AI Pipelines to train attention-based models
DUse Cloud Composer to build the training pipelines for custom deep learning-based models
✓
Correct Answer: C
Use Tabular Workflow for TabNet through Vertex AI Pipelines to train attention-based models
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Explanation
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