GENERATIVE-AI-ENGINEER-ASSOCIATE Question #35: Real Exam Question with Answer & Explanation

Question

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?

Options

• AParse the electrical equipment PDF manuals into a table of question and response pairs. That
• BThe chatbot should be implemented as a multi-step LLM workflow. First, identify the type of
• CThere should be two different chatbots handling different types of user queries.
• DThe table with electrical part failures should be converted into a text document first. That way, the

Explanation

A multi-step LLM workflow is the most effective approach for handling this use case. The system first needs to identify the type of question asked, such as whether the query pertains to historical failure rates or troubleshooting equipment. After identifying the question type, the query is routed to the appropriate model. For failure rate queries, a text-to-SQL model can be used to query the database, while for troubleshooting queries, the model can summarize the relevant equipment manuals and generate a response. This workflow ensures that the right model is used to handle different types of questions, maximizing the efficiency and relevance of

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