Answer-first summary for fast verification
Answer: MLTable
The correct answer is D (MLTable) because it specifically supports lazy evaluation, which is a key requirement in the question. MLTable defines a series of lazily-evaluated, immutable operations to load data from data sources, making it optimal for handling large datasets efficiently by loading data only when needed. While some community members suggested C (Datastore), the consensus and higher upvotes support MLTable, as Datastore is primarily for storage and access management but doesn't inherently provide lazy evaluation for loading into Pandas DataFrames in the context of AutoML jobs. Options A (Data asset) and B (URI) are less suitable as they don't directly support lazy evaluation or the specified requirements for AutoML.
Author: LeetQuiz Editorial Team
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You are developing a machine learning model using Azure Machine Learning with multiple tabular text files. You must use AutoML jobs for training, utilize data from specified columns, and the data concept must support lazy evaluation.
You need to load the data into a Pandas DataFrame.
Which data concept should you use?
A
Data asset
B
URI
C
Datastore
D
MLTable
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