DP-100 · Question #419
You create a training pipeline by using the Azure Machine Learning designer. You need to load data into a machine learning pipeline by using the Import Data component. Which two data sources could…
The correct answer is C. URL via HTTP D. Azure Blob storage container through a registered datastore. The Import Data component in Azure Machine Learning designer supports loading data from a URL via HTTP (option C), allowing data to be pulled from any publicly accessible web endpoint. It also supports Azure Blob storage containers accessed through a registered datastore…
Question
Options
- AAzure SQL Database
- BRegistered dataset
- CURL via HTTP
- DAzure Blob storage container through a registered datastore
- EAzure Data Lake Storage Gen2
How the community answered
(53 responses)- A8% (4)
- B2% (1)
- C87% (46)
- E4% (2)
Explanation
The Import Data component in Azure Machine Learning designer supports loading data from a URL via HTTP (option C), allowing data to be pulled from any publicly accessible web endpoint. It also supports Azure Blob storage containers accessed through a registered datastore (option D), which is the standard mechanism for connecting to Azure storage in the designer. Options A (Azure SQL Database) and E (Azure Data Lake Storage Gen2) are not directly supported as sources by the Import Data component in the designer - SQL databases require a different integration approach, and ADLS Gen2 is not natively supported by this specific component. Option B (Registered dataset) is loaded via a different component called 'Dataset' rather than Import Data.
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