Answer-first summary for fast verification
Answer: set_featurization
The correct answer is B (set_featurization) because the TextClassificationJob class in Azure ML Python SDK v2 uses the set_featurization method to configure language settings for NLP tasks. This method allows specifying the language parameter for text classification jobs, which is essential when working with multiple languages. The community discussion confirms this with 100% consensus on answer B, and the Microsoft documentation link provided by AzureGeek79 validates that set_featurization is the appropriate method for configuring language parameters in automated ML text classification jobs. Other options are incorrect: set_data is for data configuration, set_sweep is for hyperparameter tuning, and set_training_parameters is for general training settings but not specifically for language configuration.
Author: LeetQuiz Editorial Team
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You are managing an Azure Machine Learning workspace and plan to train a multi-language natural language processing (NLP) text classification model using the Azure Machine Learning Python SDK v2.
You need to set the language for the text classification job using automated machine learning.
Which method of the TextClassificationJob class should you use?
A
set_data
B
set_featurization
C
set_sweep
D
set_training_parameters
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