Databricks Databricks-Generative-AI-Engineer-Associate : Databricks Certified Generative AI Engineer Associate
- Exam Code: Databricks-Generative-AI-Engineer-Associate
- Exam Name: Databricks Certified Generative AI Engineer Associate
- Updated: Oct 11, 2026
- Q & A: 94 Questions and Answers
About Databricks Databricks-Generative-AI-Engineer-Associate Exam
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Reference: https://www.databricks.com/learn/certification/genai-engineer-associate
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Databricks Certified Generative AI Engineer Associate Sample Questions:
A Generative AI Engineer is using LangGraph to define multiple tools in a single agentic application. They want to enable the main orchestrator LLM to decide on its own which tools are most appropriate to call for a given prompt. To do this, they must determine the general flow of the code. Which sequence will do this?
- A. 1. Define the tools inside the agents 2. Load the agents into the LLM 3. Instruct the LLM to use COT reasoning to determine the appropriate agent
- B. 1. Define or import the tools 2. Add tools and LLM to the agent 3. Create the ReAct agent
- C. 1. Define or import the tools 2. Define the agent 3. Initialize the agent with ReAct, the LLM, and the tools
- D. 1. Define the tools 2. Load each tool into a separate agent 3. Instruct the LLM to use ReAct to call the appropriate agent
Correct Answer: C 🗳️
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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?
- A. vsc.get_index()
- B. vsc.similarity_search()
- C. vsc.create_delta_sync_index()
- D. vsc.create_direct_access_index()
Correct Answer: C 🗳️
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A Generative Al Engineer interfaces with an LLM with prompt/response behavior that has been trained on customer calls inquiring about product availability. The LLM is designed to output "In Stock" if the product is available or only the term "Out of Stock" if not.
Which prompt will work to allow the engineer to respond to call classification labels correctly?
- A. You will be given a customer call transcript where the customer inquires about product availability.
Respond with "In Stock" if the product is available or "Out of Stock" if not. - B. You will be given a customer call transcript where the customer asks about product availability. The outputs are either "In Stock" or "Out of Stock". Format the output in JSON, for example: {"call_id":
"123", "label": "In Stock"}. - C. Respond with "In Stock" if the customer asks for a product.
- D. Respond with "Out of Stock" if the customer asks for a product.
Correct Answer: B 🗳️
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A Generative Al Engineer has successfully ingested unstructured documents and chunked them by document sections. They would like to store the chunks in a Vector Search index. The current format of the dataframe has two columns: (i) original document file name (ii) an array of text chunks for each document.
What is the most performant way to store this dataframe?
- A. Flatten the dataframe to one chunk per row, create a unique identifier for each row, and save to a Delta table
- B. First create a unique identifier for each document, then save to a Delta table
- C. Split the data into train and test set, create a unique identifier for each document, then save to a Delta table
- D. Store each chunk as an independent JSON file in Unity Catalog Volume. For each JSON file, the key is the document section name and the value is the array of text chunks for that section
Correct Answer: A 🗳️
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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?
- A. Input: Customer reviews; Output: Classify review sentiment
- B. Input: Online chat logs; Output: Cancellation options
- C. Input: Online chat logs; Output: Group the chat logs by users, followed by summarizing each user's interactions
- D. Input: Online chat logs; Output: Buttons that represent choices for booking details
Correct Answer: D 🗳️
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