Explanation
A screenshot of a computer Description automatically generated with medium confidence

Box 1: No
The Workspace.get method loads an existing workspace without using configuration files.
ws = Workspace.get(name="myworkspace",
subscription_id='<azure-subscription-id>',
resource_group='myresourcegroup')
Box 2: Yes
MLflow Tracking with Azure Machine Learning lets you store the logged metrics and artifacts from your local runs into your Azure Machine Learning workspace.
The get_mlflow_tracking_uri() method assigns a unique tracking URI address to the workspace, ws, and set_tracking_uri() points the MLflow tracking URI to that address.
Box 3: Yes
Note: In Deep Learning, epoch means the total dataset is passed forward and backward in a neural network once.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.workspace.workspace
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-mlflow