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Answer: rw_mount, upload, direct
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.
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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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