Concept Overview: In Azure Machine Learning azure video
dp-100-data-scientist-assoc video for concept Overview: In Azure Machine Learning, datastores serve as abstractions for cloud data sources, encapsulating the
Full Certification Question
Concept Overview: In Azure Machine Learning, datastores serve as abstractions for cloud data sources, encapsulating the necessary connection information for accessing data. Datastores can be accessed directly in code using the Azure Machine Learning SDK. They enable uploading and downloading of data. Datasets are typically based on files within a datastore, though they can also originate from URLs and other sources. Question: Which dataset type matches the following description? "The data is read from the dataset as a table. You should use this type of dataset when your data is consistently structured and you want to work with it in common tabular data structures, such as Pandas DataFrames."