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Exam Certified Generative AI Engineer Associate All Questions

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Exam Certified Generative AI Engineer Associate topic 1 question 33 discussion

Actual exam question from Databricks's Certified Generative AI Engineer Associate
Question #: 33
Topic #: 1
[All Certified Generative AI Engineer Associate Questions]

A Generative Al Engineer is building a RAG application that answers questions about internal documents for the company SnoPen AI.
The source documents may contain a significant amount of irrelevant content, such as advertisements, sports news, or entertainment news, or content about other companies.
Which approach is advisable when building a RAG application to achieve this goal of filtering irrelevant information?

  • A. Keep all articles because the RAG application needs to understand non-company content to avoid answering questions about them.
  • B. Include in the system prompt that any information it sees will be about SnoPenAI, even if no data filtering is performed.
  • C. Include in the system prompt that the application is not supposed to answer any questions unrelated to SnoPen AI.
  • D. Consolidate all SnoPen AI related documents into a single chunk in the vector database.
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Suggested Answer: C 🗳️

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adaine
1 day, 19 hours ago
Selected Answer: D
D. By keeping all the SnoPen AI content in a single chunk, you're making sure that the retriever pulls in the entire relevant context needed for an accurate response, without mixing in noisy, irrelevant data. (with the main caveat is that if the chunk size becomes too large for the model's context window, you would run into problems).
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trendy01
6 months, 1 week ago
Selected Answer: C
C appears to be the most appropriate choice. By specifying in a system prompt that questions not relevant to SnoPen AI should not be answered, you can effectively filter out irrelevant information and ensure that only relevant questions are answered.
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