PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #276
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #276: Real Exam Question with Answer & Explanation
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Question
You work for a company that is developing an application to help users with meal planning. You want to use machine learning to scan a corpus of recipes and extract each ingredient (e.g., carrot, rice, pasta) and each kitchen cookware (e.g., bowl, pot, spoon) mentioned. Each recipe is saved in an unstructured text file. What should you do? A. Create a text dataset on Vertex AI for entity extraction Create two entities called 搃ngredient?and 揷ookware? and label at least 200 examples of each entity. Train an AutoML entity extraction model to extract occurrences of these entity types. Evaluate performance on a holdout dataset.
Options
- BCreate a multi-label text classification dataset on Vertex AI. Create a test dataset, and label each
- CUse the Entity Analysis method of the Natural Language API to extract the ingredients and
- DCreate a text dataset on Vertex AI for entity extraction. Create as many entities as there are
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