It should be C, as per the question information has to be categorised from website's contact form which will be in the form of documented text data. This has nothing to do with Recommendations AI
AutoML Natural Language: classify text, extract information, analyze sentiment, and understand customer feedback.
Recommendations AI: product recommendations based on user's past behaviour, preferences, and context.
So, it is C
C. AutoML Natural Language
Google Cloud AutoML Natural Language is a product that allows users to train custom machine learning models to perform natural language processing (NLP) tasks, such as text classification, sentiment analysis, and entity extraction. To train a model, users simply provide AutoML Natural Language with a dataset of labeled data.
The Google Cloud product or service that the organization should use to train a custom machine learning model to categorize customer responses from their website's contact form is option C, AutoML Natural Language.
AutoML Natural Language is a Google Cloud service that enables organizations to train custom machine learning models to understand and categorize text. With AutoML Natural Language, the organization can easily create a custom model that can analyze customer responses and categorize them based on their content.
I would go with C because in this situation, the ML model needs to infer from the text the customers write in the forms, so it needs to have a Natural Language Processing (NLP) capability, present on AutoML Natural Language.
Per Google docs, Recommendations AI, "delivers highly personalized product recommendations at scale". Additionally, "Recommendations AI draws on that experience and expertise in machine learning to deliver personalized recommendations that suit each customer's tastes and preferences across all your touchpoints."
https://cloud.google.com/recommendations
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