You are developing an ML pipeline using Vertex Al Pipelines.

Vendor: Google
Product: Professional-Machine-Learning-Engineer
Update on: Mar 16, 2026
Questions: 296

Google Professional-Machine-Learning-Engineer Question Answer

You are developing an ML pipeline using Vertex Al Pipelines. You want your pipeline to upload a new version of the XGBoost model to Vertex Al Model Registry and deploy it to Vertex Al End points for online inference. You want to use the simplest approach. What should you do?

Use the Vertex Al REST API within a custom component based on a vertex-ai/prediction/xgboost-cpu image.

Use the Vertex Al ModelEvaluationOp component to evaluate the model.

Use the Vertex Al SDK for Python within a custom component based on a python: 3.10 Image.

Chain the Vertex Al ModelUploadOp and ModelDeployop components together.