Data and Compute Services for ML Quiz

What you'll be asked

1. Which Azure Machine Learning service is primarily used for storing and managing datasets that will be used in training models?
2. When you need to perform distributed training of a large deep learning model on Azure Machine Learning, which type of compute target would be most appropriate?
3. You are developing a machine learning model locally and want to use a powerful compute resource for training that you can easily scale up or down. Which Azure Machine Learning compute target is designed for interactive development and experimentation?
4. For deploying a trained machine learning model as a real-time web service that can handle high volumes of requests and requires automatic scaling, which Azure Machine Learning compute target is the most suitable and recommended option?
5. You have a large dataset stored in Azure Blob Storage that you want to use for training a model. To efficiently access and process this data within your Azure Machine Learning workspace, especially for distributed training, what is the recommended approach?

Answers and explanations come after you submit.