Databricks Generative AI Engineer Associate exam dumps

Databricks Generative AI Engineer Associate practice question 28 of 306

Databricks Certified Generative AI Engineer Associate. Free level, Databricks. Free question with the correct answer and a full explanation.

Databricks Generative AI Engineer Associate Question 28

Single answer

A retail company wants to implement a generative AI model to improve customer support by automatically generating responses to customer queries. The business goal is to reduce response time while maintaining high accuracy and relevance in the replies. Which of the following best describes the desired inputs and outputs for the AI pipeline?

  1. A

    Inputs: Historical customer queries and responses; Outputs: A trained model capable of generating contextually accurate responses.

  2. B

    Inputs: Product sales data and inventory levels; Outputs: Forecasts for future inventory needs.

  3. C

    Inputs: Customer demographic information and buying history; Outputs: Personalized product recommendations.

  4. D

    Inputs: Raw customer reviews; Outputs: A sentiment analysis score for each review.

Show answer and explanation

Correct answer: A

Explanation

The correct answer identifies inputs and outputs that directly address the business goal of reducing response time and maintaining accuracy in customer support. Historical customer queries and responses provide the necessary data for training a generative AI model, and the output is a model capable of generating relevant and contextually accurate replies. The other options describe tasks or data inputs/outputs unrelated to the stated goal.

  • A. Correct.

    This is correct because the inputs (historical customer queries and responses) align with the task of training a generative AI model for customer support, and the outputs (a trained model to generate accurate responses) directly address the business goal.

  • B. Incorrect.

    This is incorrect because product sales data and inventory levels are unrelated to the task of generating customer support responses.

  • C. Incorrect.

    This is incorrect because customer demographic information and buying history are used for recommendation systems, not for generating customer support responses.

  • D. Incorrect.

    This is incorrect because analyzing sentiment in customer reviews is a different AI task and does not align with the described business goal of generating responses to customer queries.

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