Databricks-Generative-AI-Engineer-Associate practice materials Questions Answers

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Databricks-Generative-AI-Engineer-Associate
Exam Name:
Databricks Certified Generative AI Engineer Associate Exam
Last Update:
Jun 01,2026

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Page: 1 / 13
Total Questions: 61

Questions & Answers PDF

• Question 1

  

  A Generative AI Engineer has created a RAG application which can help employees retrieve ans.wers from an internal knowledge base, such as Confluence pages or Google Drive. The prototype application is now working with some positive feedback from internal company testers. Now the Generative Al Engineer wants to formally evaluate the system’s performance and understand where to focus their efforts to further improve the system.How should the Generative AI Engineer evaluate the system?

  • Use cosine similarity score to comprehensively evaluate the quality of the final generated answ.ers.
  • Curate a dataset that can test the retrieval and generation components of the system separately. Use MLflow’s built in evaluation metrics to perform the evaluation on the retrieval and generation components.
  • Benchmark multiple LLMs with the same data and pick the best LLM for the job.
  • Use an LLM-as-a-judge to evaluate the quality of the final ans.wers generated.

  Reveal Answer Answer: B Next Question

• Question 2

  

  A Generative AI Engineer is building a RAG application that will rely on context retrieved from sourcedocuments 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?

  • flask
  • beautifulsoup
  • unstructured
  • numpy

  Reveal Answer Answer: C Next Question

• Question 3

  

  A Generative AI Engineer is developing a patient-facing healthcare-focused chatbot. If the patient’s question is not a medical emergency, the chatbot should solicit more information from the patient to pass to the doctor’s office and suggest a few relevant pre-approved medical articles for reading. If the patient’s question is urgent, direct the patient to calling their local emergency services.Given the following user input:“I have been experiencing severe headaches and dizziness for the past two days.” Which response is most appropriate for the chatbot to generate?

  • Here are a few relevant articles for your browsing. Let me know if you have questions after reading them.
  • Please call your local emergency services.
  • Headaches can be tough. Hope you feel better soon!
  • Please provide your age, recent activities, and any other symptoms you have noticed along with your headaches and dizziness.

  Reveal Answer Answer: B Next Question

• Question 4

  

  A Generative AI Engineer is building an LLM to generate article summaries in the form of a type of poem, such as a haiku, given the article content. However, the initial output from the LLM does not match the desired tone or style.Which approach will NOT improve the LLM’s response to achieve the desired response?

  • Provide the LLM with a prompt that explicitly instructs it to generate text in the desired tone and style
  • Use a neutralizer to normalize the tone and style of the underlying documents
  • Include few-shot examples in the prompt to the LLM
  • Fine-tune the LLM on a dataset of desired tone and style

  Reveal Answer Answer: B Next Question

• Question 5

  

  A Generative AI Engineer has been asked to build an LLM-based question-answ.ering application. The application should take into account new documents that are frequently published. The engineer wants to build this application with the least cost and least development effort and have it operate at the lowest cost possible.Which combination of chaining components and configuration meets these requirements?

  • For the application a prompt, a retriever, and an LLM are required. The retriever output is inserted into the prompt which is given to the LLM to generate answ.ers.
  • The LLM needs to be frequently with the new documents in order to provide most up-to-date answ.ers.
  • For the question-answ.ering application, prompt engineering and an LLM are required to generate answ.ers.
  • For the application a prompt, an agent and a fine-tuned LLM are required. The agent is used by the LLM to retrieve relevant content that is inserted into the prompt which is given to the LLM to generate answ.ers.

  Reveal Answer Answer: A Next Question

• Question 6

  

  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 option that. I am a chatbot that can only option questions around insurance.” Which framework type should be implemented to solve this?

  • Safety Guardrail
  • Security Guardrail
  • Contextual Guardrail
  • Compliance Guardrail

  Reveal Answer Answer: A Next Question

• Question 7

  

  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?

  • Use spark.conf.set ()
  • Pass variables using the Databricks Feature Store API
  • Add credentials using environment variables
  • Pass the secrets in plain text

  Reveal Answer Answer: C Next Question

• Question 8

  

  What is an effective method to preprocess prompts using custom code before sending them to an LLM?

  • Directly modify the LLM’s internal architecture to include preprocessing steps
  • It is better not to introduce custom code to preprocess prompts as the LLM has not been trained with examples of the preprocessed prompts
  • Rather than preprocessing prompts, it’s more effective to postprocess the LLM outputs to align the outputs to desired outcomes
  • Write a MLflow PyFunc model that has a separate function to process the prompts

  Reveal Answer Answer: D Next Question

• Question 9

  

  A Generative AI Engineer has been asked to design an LLM-based application that accomplishes thefollowing business objective: option employee HR questions using HR PDF documentation. Which set of high level tasks should the Generative AI Engineer's system perform?

  • Calculate averaged embeddings for each HR document, compare embeddings to user query to find the best document. Pass the best document with the user query into an LLM with a large context window to generate a response to the employee.
  • Use an LLM to summarize HR documentation. Provide summaries of documentation and user query into an LLM with a large context window to generate a response to the user.
  • Create an interaction matrix of historical employee questions and HR documentation. Use ALS to factorize the matrix and create embeddings. Calculate the embeddings of new queries and use them to find the best HR documentation. Use an LLM to generate a response to the employee question based upon the documentation retrieved.
  • Split HR documentation into chunks and embed into a vector store. Use the employee question to retrieve best matched chunks of documentation, and use the LLM to generate a response to the employee based upon the documentation retrieved.

  Reveal Answer Answer: D Next Question

• Question 10

  

  A Generative Al Engineer is building a system which will option questions on latest stock news articles.Which will NOT help with ensuring the outputs are relevant to financial news?

  • Implement a comprehensive guardrail framework that includes policies for content filters tailored to the finance sector.
  • Increase the compute to improve processing speed of questions to allow greater relevancy analysis
  • C Implement a profanity filter to screen out offensive language
  • Incorporate manual reviews to correct any problematic outputs prior to sending to the users

  Reveal Answer Answer: B Next Question

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Total Questions: 61

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