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You are developing an ML pipeline using Vertex AI Pipelines for an online inference system. Your task involves uploading a new version of an XGBoost model to the Vertex AI Model Registry and deploying it to Vertex AI Endpoints. Given the need to minimize complexity and use the simplest approach, what should you do?
A
Use the Vertex AI REST API within a custom component based on a vertex-ai/prediction/xgboost-cpu image
B
Use the Vertex AI ModelEvaluationOp component to evaluate the model
C
Use the Vertex AI SDK for Python within a custom component based on a python:3.10 image
D
Chain the Vertex AI ModelUploadOp and ModelDeployOp components together