Exam DP-100 topic 3 question 131 discussion

You can use the following two data sources to load data into a machine learning pipeline using the Import Data component in Azure Machine Learning designer: B. Registered dataset Registered Dataset: A dataset that has been registered in your Azure Machine Learning workspace can be easily imported into your pipeline. This ensures that your data is well-organized and easily accessible for your machine learning experiments. D. Azure Blob storage container through a registered datastore Azure Blob Storage: By registering an Azure Blob storage container as a datastore in your Azure Machine Learning workspace, you can directly import data from it into your pipeline. This is especially useful for large datasets that are stored in Blob storage. These options allow you to efficiently load and manage your data for machine learning pipelines.

The Import Data component supports reading data from the following sources: URL via HTTP, Azure Blob Container, Azure File Share, Azure Data Lake, Azure Data Lake Gen2, Azure SQL Database, and Azure PostgreSQL1. Therefore, the correct answers to your question are A. Azure SQL Database, C. URL via HTTP, D. Azure Blob storage container through a registered datastore, and E. Azure Data Lake Storage Gen2 Reference: https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/machine-learning/component-reference/import-data.md

Correct

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

Correct according to the link

https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/import-data