Databricks Generative AI Engineer Associate Question 27
Single answerA retail company wants to use a generative AI model to automatically create personalized product descriptions for its e-commerce platform. The descriptions should be based on product attributes (like color, size, and category) and customer preferences (like past purchases and browsing history). Which of the following represents an appropriate way to define the inputs and outputs for the AI pipeline to achieve this goal?
- A
Inputs: Product images and customer demographic data; Outputs: Generated product descriptions
- B
Inputs: Product attributes and customer preferences; Outputs: Generated personalized product descriptions
- C
Inputs: Customer feedback and competitor product descriptions; Outputs: Generated product reviews
- D
Inputs: Product sales data and customer purchase history; Outputs: Generated sales forecasts
Show answer and explanation
Correct answer: B
Explanation
The business use case requires an AI pipeline that can generate personalized product descriptions based on specific product attributes and customer preferences. Option 2 correctly identifies the inputs (product attributes and customer preferences) and the output (personalized product descriptions) required to achieve this goal. Other options either misidentify the inputs or outputs, or are unrelated to the described use case.
- A. Incorrect.
While product images and customer demographic data may be relevant to certain AI tasks, they do not align with the requirements of generating personalized product descriptions based on product attributes and customer preferences.
- B. Correct.
This option correctly identifies the necessary inputs (product attributes and customer preferences) and outputs (personalized product descriptions) for the AI pipeline to meet the business use case goal.
- C. Incorrect.
Customer feedback and competitor product descriptions are unrelated to the task of generating personalized product descriptions. This option describes a different AI use case.
- D. Incorrect.
Sales data and purchase history are more relevant for tasks like sales forecasting, not for generating product descriptions. This option does not align with the given business use case.