Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 226

Question

You recently trained a XGBoost model that you plan to deploy to production for online inference. Before sending a predict request to your model’s binary, you need to perform a simple data preprocessing step. This step exposes a REST API that accepts requests in your internal VPC Service Controls and returns predictions. You want to configure this preprocessing step while minimizing cost and effort. What should you do?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Build a custom predictor class based on XGBoost Predictor from the Vertex AI SDK, and package the handler in a custom container image based on a Vertex built-in container image. Store a pickled model in Cloud Storage,... Cloud Storage provides durable, scalable object storage that is fully managed. Vertex AI is the unified managed platform to build, train, tune, deploy, and operate ML models.

Google Cloud Professional Machine Learning Engineer PMLE — Question 226