PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #268
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #268: Real Exam Question with Answer & Explanation
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Question
You recently trained an XGBoost model on tabular data. You plan to expose the model for internal use as an HTTP microservice. After deployment, you expect a small number of incoming requests. You want to productionize the model with the least amount of effort and latency. What should you do?
Options
- ADeploy the model to BigQuery ML by using CREATE MODEL with the
- BBuild a Flask-based app. Package the app in a custom container on Vertex AI, and deploy it to
- CBuild a Flask-based app. Package the app in a Docker image, and deploy it to Google
- DUse a prebuilt XGBoost Vertex container to create a model, and deploy it to Vertex AI Endpoints.
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