DP-100 Exam Dumps | You create a training pipeline by using the Azure Machine Learning designer. You need to load data into

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Question 5/178

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 you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point

A. Registered dataset

B. Azure SQL Database

C. URL via HTTP

D. Azure Data Lake Storage Gen2

E. Azure Blob storage container through a registered datastore

Correct Answer: C,E

Recent Comments (The most recent comments are at the top.)

efor - Oct 23, 2024

The correct answers are:

A. Registered dataset and E. Azure Blob storage container through a registered datastore.

Registered dataset: In Azure Machine Learning, you can import data into the pipeline by using datasets that have been registered with the service. Registered datasets are reusable and can be easily accessed across multiple pipelines and experiments.

Azure Blob storage container through a registered datastore: Azure Machine Learning supports importing data from Azure Blob Storage via a registered datastore. This allows seamless access to large volumes of data stored in Blob storage for training and experimentation.

Other options:

Azure SQL Database (B), URL via HTTP (C), and Azure Data Lake Storage Gen2 (D) are valid data sources for Azure services but are not directly applicable to the "Import Data" component in Azure Machine Learning Designer without some additional setup or integration through datastores.

Zenagebrel - Mar 26, 2024

B and C is possible Answers
The Import Data component support read data from following sources:

*URL via HTTP
*Azure cloud storages through Datastores)
Azure Blob Container
Azure File Share
Azure Data Lake
Azure Data Lake Gen2
Azure SQL Database
Azure PostgreSQL
https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/import-data?view=azureml-api-2

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