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Answer: URL via HTTP, Azure Blob storage container through a registered datastore
The question asks for two data sources that can be used with the Import Data component in Azure Machine Learning designer. According to the official Microsoft documentation referenced in the community discussion (https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/import-data), the Import Data component supports multiple sources including URL via HTTP, Azure Blob storage container through a registered datastore, Azure SQL Database, and Azure Data Lake Storage Gen2. However, the question specifically asks for 'two data sources' and the community consensus shows CD (URL via HTTP and Azure Blob storage container through a registered datastore) as the most supported answer with 50% of votes, matching BD's 50%. The CD option is validated by multiple comments referencing the official documentation, while option B (Registered dataset) is not directly listed as a source in the Import Data component documentation - datasets are typically used differently in Azure ML pipelines. Options A and E are technically supported but CD represents the most commonly used and documented approach for the Import Data component.
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You are creating a training pipeline with the Azure Machine Learning designer and need to use the Import Data component.
Which two data sources can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A
Azure SQL Database
B
Registered dataset
C
URL via HTTP
D
Azure Blob storage container through a registered datastore
E
Azure Data Lake Storage Gen2