Databricks Certified Generative AI Engineer Associate Exam Info
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Databricks Certified Generative AI Engineer Associate
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Databricks Certified Generative AI Engineer Associate Exam Questions
Exam number/code:
Databricks Certified Generative AI Engineer Associate
Release/Update Date:
10 May, 2026
Available Number of Questions: Maximum of
73 Questions
Exam Name: Databricks Certified Generative AI Engineer Associate
Exam Duration: 90 Minutes
Related Certification(s):
Databricks Generative AI Engineer Associate Certification
Databricks Certified Generative AI Engineer Associate Exam Topics - You’ll Be Tested in Actual Exam
The Databricks Generative AI Engineer Associate exam is a comprehensive assessment designed to evaluate your expertise in leveraging Databricks' platform for generative AI engineering. This exam covers a wide range of topics, including an introduction to large language models (LLMs) and their applications, understanding and utilizing Databricks' generative AI capabilities, and exploring advanced use cases. You'll delve into the fundamentals of LLMs, learning about their architecture, training processes, and the various techniques employed to enhance their performance. Additionally, the exam focuses on Databricks' unique features, such as its support for various programming languages and its seamless integration with other tools and services. You'll learn how to effectively utilize Databricks' notebooks, libraries, and APIs to develop and deploy generative AI models. Furthermore, the exam emphasizes real-world applications, covering topics like text generation, image synthesis, and conversational AI. You'll explore the ethical considerations and best practices associated with generative AI, ensuring responsible and effective implementation. By passing this exam, you'll demonstrate a strong understanding of Databricks' platform and its potential for generative AI engineering, positioning yourself as a skilled professional in this rapidly evolving field.
Databricks Certified Generative AI Engineer Associate Exam Short Quiz
Attempt this Databricks Certified Generative AI Engineer Associate exam quiz to self-assess your preparation for the actual Databricks Certified Generative AI Engineer Associate exam. CertBoosters also provides premium Databricks Certified Generative AI Engineer Associate exam questions to pass the Databricks Certified Generative AI Engineer Associate exam in the shortest possible time. Be sure to try our free practice exam software for the Databricks Certified Generative AI Engineer Associate exam.
DatabricksDatabricks Certified Generative AI Engineer Associate
Q1:
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?
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AUse spark.conf.set ()
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BPass variables using the Databricks Feature Store API
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CAdd credentials using environment variables
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DPass the secrets in plain text
DatabricksDatabricks Certified Generative AI Engineer Associate
Q2:
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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Avsc.get_index()
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Bvsc.create_delta_sync_index()
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Cvsc.create_direct_access_index()
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Dvsc.similarity_search()
DatabricksDatabricks Certified Generative AI Engineer Associate
Q3:
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?
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ASafety Guardrail
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BSecurity Guardrail
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CContextual Guardrail
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DCompliance Guardrail
DatabricksDatabricks Certified Generative AI Engineer Associate
Q4:
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?
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AAssess the quality of the retrieved context
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BImplement caching for frequently asked questions
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CUse a different LLM to improve the generated response
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DUse a different semantic similarity search algorithm
DatabricksDatabricks Certified Generative AI Engineer Associate
Q5:
A Generative AI Engineer has been asked to design an LLM-based application that accomplishes the following business objective: answer employee HR questions using HR PDF documentation.
Which set of high level tasks should the Generative AI Engineer's system perform?
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ACalculate 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.
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BUse 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.
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CCreate 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.
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DSplit 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.
🎉 Databricks Certified Generative AI Engineer Associate Quiz Complete!
