Question

A logistics company wants to predict package delivery times using a structured dataset in Vertex AI. The data science team has limited coding experience and needs a solution that requires minimal ML expertise. Business stakeholders also require the model to report which features most influence each individual prediction, and the model must be queried in real time from a customer-facing web application. Which approach best meets all requirements?

Accepted Answer

Train an AutoML tabular regression model in Vertex AI, deploy it to an online endpoint, and enable Vertex Explainable AI feature attributions on the predictions.

Answer

Train a custom TensorFlow regression model with a hand-written training loop and serve it via a Compute Engine VM.

Answer

Train an AutoML tabular regression model in Vertex AI and use only batch prediction jobs to generate delivery time estimates.

Answer

Use BigQuery ML to train a linear regression model and export it to a TensorFlow SavedModel for local inference.