Azure Data Scientists Associate Practice Exam

Which method is utilized for downloading a machine learning model from the Azure workspace?

1. Run.get.register()

2. Model.download()

3. Experiment.submit()

4. Model.register()

The correct answer is: Model.download()

The method used for downloading a machine learning model from the Azure workspace is Model.download(). This function is specifically designed to facilitate the retrieval of a registered machine learning model from the Azure environment. When a model is registered in the Azure Machine Learning workspace, it is associated with a unique identifier and metadata that allow users to easily manage and retrieve the model. Model.download() ensures that users can access the model locally for further testing, inference, or deployment. This is essential for data scientists and machine learning engineers who need to evaluate the model's performance outside of the Azure cloud or integrate it with other applications. The other methods listed serve different purposes within the Azure Machine Learning framework. For instance, Run.get.register() is related to obtaining a registered run, Experiment.submit() is used to submit an experiment run to the workspace, and Model.register() is used to register a model within the Azure workspace. These functions focus on managing the lifecycle of runs and models but do not pertain to downloading a model.