You have an Azure Machine Learning workspace.
You plan to run a job to train a model as an MLflow model output.
You need to specify the output mode of the MLflow model.
Which three modes can you specify? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
When specifying the output mode for MLflow model in Azure Machine Learning, the modes you can specify are 'rw_mount', 'ro_mount', and 'upload'. 'rw_mount' allows the resource to be mounted with read and write permissions, 'ro_mount' allows the resource to be mounted with read-only permissions, and 'upload' allows data to be uploaded. 'download' is related to data output but not a specific mode, and 'direct' is not a recognized mode for this context.
Seems correct: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-inputs-outputs-pipeline?view=azureml-api-2&tabs=cli#path-and-mode-for-data-inputsoutputs
correct answer: A. rw_mount B. ro_mount C. upload
Based on what? Stop providing fake answers if they are not supported by a reference.
RW_mount uplaod direct https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-inputs-outputs-pipeline?view=azureml-api-2&tabs=cli
correct