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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #225

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #225: Real Exam Question with Answer & Explanation

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Submitted by tarun92· Apr 18, 2026ML pipeline operationalization

Question

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?

Options

  • AUse the Vertex AI REST API within a custom component based on a vertex-ai/prediction/xgboost-
  • BUse the Vertex AI ModelEvaluationOp component to evaluate the model
  • CUse the Vertex AI SDK for Python within a custom component based on a python:3.10 image
  • DChain the Vertex AI ModelUploadOp and ModelDeployOp components together

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Topics

#Vertex AI Pipelines#Model Deployment#Model Registry#Pre-built Components
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