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databricks CERTIFIED_GENERATIVE_AI_ENGINEER_ASSOCIATE

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Exam contains 56 questions

Page 5 of 10
Question 25 🔥

A Generative AI Engineer is creating an agent-based LLM system for their favorite monster truck team. The system can answer text based questions about the monster truck team, lookup event dates via an API call, or query tables on the team’s latest standings.How could the Generative AI Engineer best design these capabilities into their system?

Which database solution meets these requirements?
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Question 26 🔥

Generative AI Engineer at an electronics company just deployed a RAG application for customers to ask questions about products that the company carries. However, they received feedback that the RAG response often returns information about an irrelevant product.What can the engineer do to improve the relevance of the RAG’s response?

Which database solution meets these requirements?
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Question 27 🔥

A Generative AI Engineer is developing a chatbot designed to assist users with insurance-related queries. The chatbot is built on a large language model (LLM) and is conversational. However, to maintain the chatbot’s focus and to comply with company policy, it must not provide responses to questions about politics. Instead, when presented with political inquiries, the chatbot should respond with a standard message:“Sorry, I cannot answer that. I am a chatbot that can only answer questions around insurance.”Which framework type should be implemented to solve this?

Which database solution meets these requirements?
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Question 28 🔥

A Generative AI Engineer I using the code below to test setting up a vector store:Assuming they intend to use Databricks managed embeddings with the default embedding model, what should be the next logical function call?

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Question 29 🔥

A Generative AI Engineer is tasked with deploying an application that takes advantage of a custom MLflow Pyfunc model to return some interim results.How should they configure the endpoint to pass the secrets and credentials?

Which database solution meets these requirements?
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Question 30 🔥

A Generative AI Engineer wants to build an LLM-based solution to help a restaurant improve its online customer experience with bookings by automatically handling common customer inquiries. The goal of the solution is to minimize escalations to human intervention and phone calls while maintaining a personalized interaction. To design the solution, the Generative AI Engineer needs to define the input data to the LLM and the task it should perform.Which input/output pair will support their goal?

Which database solution meets these requirements?
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