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Free Databricks-Generative-AI-Engineer-Associate Exam Questions - Databricks Databricks-Generative-AI-Engineer-Associate Exam

Databricks Databricks-Generative-AI-Engineer-Associate Exam

Databricks-Generative-AI-Engineer-Associate Exam - Prepare from Latest, Not Redundant Questions!

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Databricks Databricks-Generative-AI-Engineer-Associate Exam Sample Questions:

Q1.

A Generative Al Engineer is tasked with developing an application that is based on an open source large language model (LLM). They need a foundation LLM with a large context window.

Which model fits this need?

Q2.

A Generative AI Engineer received the following business requirements for an external chatbot.

The chatbot needs to know what types of questions the user asks and routes to appropriate models to answer the questions. For example, the user might ask about upcoming event details. Another user might ask about purchasing tickets for a particular event.

What is an ideal workflow for such a chatbot?

Q3.

A Generative AI Engineer is building a RAG application that will rely on context retrieved from source documents that are currently in PDF format. These PDFs can contain both text and images. They want to develop a solution using the least amount of lines of code.

Which Python package should be used to extract the text from the source documents?

Q4.

A team wants to serve a code generation model as an assistant for their software developers. It should support multiple programming languages. Quality is the primary objective.

Which of the Databricks Foundation Model APIs, or models available in the Marketplace, would be the best fit?

Q5.

A company has a typical RAG-enabled, customer-facing chatbot on its website.

q5_Databricks-Generative-AI-Engineer-Associate

Select the correct sequence of components a user's questions will go through before the final output is returned. Use the diagram above for reference.

Solutions:
Question: 1 Answer: C
Question: 2 Answer: C
Question: 3 Answer: C
Question: 4 Answer: D
Question: 5 Answer: A
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