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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 78 discussion

Actual exam question from Databricks's Certified Generative AI Engineer Associate
Question #: 78
Topic #: 1
[All Certified Generative AI Engineer Associate Questions]

A Generative AI Engineer received the following business requirements for an internal chatbot. The internal chatbot needs to know what types of questions the user asks and route them to appropriate models to answer the questions. For example, the user might ask about historical failure rates of a specific electrical part. Another user might ask about how to troubleshoot a piece of electrical equipment.

Available data sources include a database of electrical equipment PDF manuals and also a table with information on when an electrical part experiences failure.

Which workflow supports such a chatbot?

  • A. Parse the electrical equipment PDF manuals into a table of question and response pairs. That way, the same chatbot can query tables easily to answer questions about both historical failure rates and equipment troubleshooting.
  • B. The chatbot should be implemented as a multi-step LLM workflow. First, identify the type of question asked, then route the question to the appropriate model. If it’s a historical failure rate question, send the query to a text-to-SQL model. If it’s a troubleshooting question, then send the query to another model that summarizes the equipment-specific document and generates the response.
  • C. There should be two different chatbots handling different types of user queries.
  • D. The table with electrical part failures should be converted into a text document first. That way, the same chatbot can use the same document retrieval process to generate answers regardless of question types.
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Suggested Answer: B 🗳️

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seaun
1 week ago
Selected Answer: B
Answer is B
upvoted 1 times
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Duke_CT
1 week, 1 day ago
Selected Answer: D
I would go with B. Anyone else?
upvoted 1 times
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