Databricks Generative AI Engineer Associate Question 26
Select 2A retail company wants to implement a recommendation system for its e-commerce platform to increase customer engagement. The system should suggest personalized product recommendations based on user browsing history and past purchases. As a Databricks Certified Generative AI Engineer Associate, how should you define the desired inputs and outputs for this AI pipeline?
- A
Input: User browsing history and purchase data; Output: A ranked list of recommended products for each user.
- B
Input: Product catalog metadata and user reviews; Output: A classification label predicting whether a user will purchase a product.
- C
Input: User demographic data and time of login; Output: A real-time alert for website activity.
- D
Input: User browsing history and purchase data; Output: Predictions of which products are likely to be returned by the user.
- E
Input: User browsing history and purchase data; Output: Personalized product recommendations tailored to each user.
Show answer and explanation
Correct answers: A, E
Explanation
To address the business use case, the AI pipeline should take user activity data (browsing history and past purchases) as input and produce personalized product recommendations as the output. Options 1 and 5 accurately capture this requirement. Other options either focus on unrelated outputs or misinterpret the input-output requirements.
- A. Correct.
Correct: This option correctly aligns with the business goal of generating personalized product recommendations based on user activity data.
- B. Incorrect.
Incorrect: This option focuses on predicting purchase likelihood rather than generating personalized recommendations, which is not the stated goal.
- C. Incorrect.
Incorrect: This option is unrelated to the business goal and does not involve generating personalized recommendations.
- D. Incorrect.
Incorrect: This option focuses on returned products, which is not aligned with the business use case of recommending products.
- E. Correct.
Correct: This option aligns with the business goal of providing tailored product recommendations to each user based on their activity.