Databricks Generative AI Engineer Associate Question 25
Single answerA retail company wants to implement a recommendation system to improve product suggestions for its customers. The business goal is to increase customer engagement by suggesting relevant products based on past purchases and browsing history. As a Generative AI Engineer, how would you define the inputs and outputs for the AI pipeline to meet this business goal?
- A
Inputs: Customer demographics and real-time website traffic data; Outputs: Predicted sales figures for the next quarter
- B
Inputs: Customer purchase history and browsing behavior; Outputs: A ranked list of recommended products per customer
- C
Inputs: Product inventory data and supply chain details; Outputs: Optimized stock levels for each product category
- D
Inputs: Social media sentiment data and customer reviews; Outputs: Predicted customer satisfaction scores
Show answer and explanation
Correct answer: B
Explanation
The business goal is to increase customer engagement by providing relevant product recommendations based on customer behavior. The correct answer identifies inputs (purchase history and browsing behavior) directly related to the recommendation process and specifies the desired output (ranked product recommendations). Other options describe inputs/outputs unrelated to the stated business goal.
- A. Incorrect.
This option does not align with the business goal of improving product recommendations. Sales predictions are not relevant for this specific use case.
- B. Correct.
This option accurately translates the business goal into appropriate inputs (purchase history, browsing behavior) and outputs (ranked product recommendations). It directly addresses the need to enhance customer engagement via relevant suggestions.
- C. Incorrect.
This option focuses on inventory and supply chain optimization, which is unrelated to the business goal of providing personalized product recommendations.
- D. Incorrect.
This option is about customer satisfaction analysis, which does not align with the goal of creating a recommendation system for product suggestions.