Question

Your team has an existing Azure Blob Storage account that already contains curated training data in a container named 'training-data'. You need to make this data accessible from your Azure Machine Learning workspace so data scientists can reference it by name in jobs, without moving or copying the data. Credentials must be stored securely in the workspace and reused across jobs. What should you do?

Accepted Answer

Create a new datastore in the workspace that points to the existing blob container, using an account key or SAS token for authentication

Answer

Upload the container contents to the workspace's default 'workspaceblobstore' datastore using the CLI

Answer

Register the container as a data asset of type uri_folder without configuring a datastore

Answer

Mount the storage account directly to each compute cluster node using a startup script that supplies the account key