Explanation:
The correct output modes for MLflow model outputs in Azure Machine Learning are rw_mount, upload, and direct. According to Microsoft documentation and community consensus (100% agreement with ACE), these three modes are valid for MLflow model outputs. rw_mount provides read-write mount access, upload copies data to the output location, and direct writes directly to the output location. ro_mount (read-only mount) and download are not valid output modes for MLflow models, as outputs require write capabilities and download is an input mode, not an output mode.
Ultimate access to all questions.
You have an Azure Machine Learning workspace and plan to run a training job that outputs an MLflow model.
Which three output modes can you specify for the MLflow model? Each correct answer presents a complete solution.
A
rw_mount
B
ro_mount
C
upload
D
download
E
direct
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