Databricks Generative AI Engineer Associate exam dumps

Databricks Generative AI Engineer Associate practice question 72 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 72

Select 3

You are designing a Retrieval-Augmented Generation (RAG) application to provide accurate and up-to-date responses for a customer support chatbot. Which of the following source documents would be most appropriate to include in your knowledge base to ensure the chatbot delivers high-quality and relevant answers?

  1. A

    Product manuals and user guides for the company's products.

  2. B

    Outdated policy documents from three years ago.

  3. C

    Frequently Asked Questions (FAQ) documents maintained by the support team.

  4. D

    Customer feedback emails containing complaints.

  5. E

    Internal employee onboarding materials unrelated to customer issues.

  6. F

    Knowledge base articles frequently updated by the product support team.

Show answer and explanation

Correct answers: A, C, F

Explanation

For a RAG application like a customer support chatbot, it is crucial to select source documents that are accurate, up-to-date, and relevant to customer queries. Product manuals, FAQs, and updated knowledge base articles are ideal sources as they provide reliable and structured information. Avoiding outdated or irrelevant documents ensures the chatbot generates high-quality responses.

  • A. Correct.

    Product manuals and user guides are highly relevant as they provide detailed and accurate information about the company's products, ensuring the chatbot can generate precise responses.

  • B. Incorrect.

    Outdated policy documents are not suitable as they may contain incorrect or obsolete information, leading to inaccurate chatbot responses.

  • C. Correct.

    Frequently Asked Questions (FAQ) documents are directly relevant since they address common customer inquiries and are typically curated for clarity and accuracy.

  • D. Incorrect.

    While customer feedback emails may provide insight into user pain points, they are often unstructured and unreliable as a direct source for a chatbot knowledge base.

  • E. Incorrect.

    Internal employee onboarding materials are not relevant to customer-facing issues and thus do not add value to the chatbot's knowledge base.

  • F. Correct.

    Knowledge base articles that are frequently updated by the support team are very useful, as they offer accurate, curated, and up-to-date information aligned with customer needs.

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