HOTSPOT You manage an Azure Machine Learning workspace named workspace1. You must register an Azure Blob storage datastore in workspace1 by using an access key. You develop Python SDK v2 code to import all modules required to register the datastore. You need to complete the Python SDK v2 code to define the datastore. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. 
container_name and wasbs are the right picks here. For AzureBlobDatastore in Python SDK v2, you need container_name to tell it which blob container to use, and wasbs as the protocol works for classic Azure Blob Storage. filesystem and abfss are only for Data Lake Gen2 setups. I think this lines up with what I've seen in MS docs, but happy to hear if anyone's seen it otherwise.
container_name and wasbs. Saw a similar question in practice sets. Let me know if you think otherwise.container_name and wasbs for Blob here, not Data Lake params. Pretty sure that's right.If the storage account had hierarchical namespace enabled, would we need to pick filesystem and abfss instead? Just checking since that's usually a Data Lake Gen2 thing that flips the choice compared to regular Blob.
