Topic 1 Question 214
You are developing an ML pipeline using Vertex AI Pipelines. You want your pipeline to upload a new version of the XGBoost model to Vertex AI Model Registry and deploy it to Vertex AI Endpoints for online inference. You want to use the simplest approach. What should you do?
Use the Vertex AI REST API within a custom component based on a vertex-ai/prediction/xgboost-cpu image
Use the Vertex AI ModelEvaluationOp component to evaluate the model
Use the Vertex AI SDK for Python within a custom component based on a python:3.10 image
Chain the Vertex AI ModelUploadOp and ModelDeployOp components together
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- 正解だと思う選択肢: D
A. Custom Component with REST API: This involves more manual coding and understanding of REST API endpoints, potentially increasing complexity and maintenance. B. ModelEvaluationOp: This component is primarily for model evaluation, not model upload and deployment. C. Custom Component with SDK: While feasible, it involves more setup and dependency management compared to using built-in components.
👍 1pikachu0072024/01/12
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