Microsoft Certified Azure Data Scientist Associate - DP-100
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You are creating a multi-class image classification deep learning model for tracking bird health and migration. You have 100,000 JPG format bird photographs stored in an Azure blob container. You need to access these files from your Azure Machine Learning service workspace for model training while minimizing data movement.
What should you do?
A
Create an Azure Data Lake store and move the bird photographs to the store.
B
Create an Azure Cosmos DB database and attach the Azure Blob containing bird photographs storage to the database.
C
Create and register a dataset by using TabularDataset class that references the Azure blob storage containing bird photographs.
D
Register the Azure blob storage containing the bird photographs as a datastore in Azure Machine Learning service.
E
Copy the bird photographs to the blob datastore that was created with your Azure Machine Learning service workspace.