PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #281
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #281: Real Exam Question with Answer & Explanation
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Question
You are developing an ML model in a Vertex AI Workbench notebook. You want to track artifacts and compare models during experimentation using different approaches. You need to rapidly and easily transition successful experiments to production as you iterate on your model implementation. What should you do?
Options
- A1. Initialize the Vertex SDK with the name of your experiment. Log parameters and metrics for
- B1. Initialize the Vertex SDK with the name of your experiment. Log parameters and metrics for
- C1. Create a Vertex AI pipeline with parameters you want to track as arguments to your
- D1. Create a Vertex AI pipeline. Use the Dataset and Model artifact types from the Kubeflow
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