DP-100 · Question #488
DP-100 Question #488: Real Exam Question with Answer & Explanation
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Question
You manage an Azure Machine Learning workspace. You build a custom model you must log with MLflow. The custom model includes the following: - The model is not natively supported by MLflow. - The model cannot be serialized in Pickle format. - The model source code is complex. - The Python library for the model must be packaged with the model. You need to create a custom model flavor to enable logging with MLflow. What should you use?
Options
- Amodel loader
- Bartifacts
- Cmodel wrapper
- Dcustom signatures
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