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Last Updated: Sep 15, 2026

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Databricks Databricks-Generative-AI-Engineer-Associate Exam Overview:

Certification Vendor:Databricks
Exam Name:Databricks Certified Generative AI Engineer Associate
Exam Number:Generative AI Engineer Associate
Exam Duration:90 minutes
Real Exam Qty:45
Passing Score:Scaled Score (approx. 70%)
Available Languages:English, Korean, Portuguese (Brazil), Japanese
Exam Format:Multiple Select, Multiple Choice
Exam Price:$200 USD
Certificate Validity Period:2 years
Related Certifications:Databricks Certified Machine Learning Associate
Databricks Certified Data Engineer Associate
Sample Questions: DOWNLOAD DEMO
Exam Way:Online (Proctored) or Test Center
Pre Condition:None (Recommended: 6+ months hands-on experience)
Official Syllabus URL:https://www.databricks.com/learn/certification/genai-engineer-associate

Databricks Databricks-Generative-AI-Engineer-Associate Exam Syllabus Topics:

SectionWeightObjectives
Design Applications14%- Design and architect applications
- Select appropriate models
- Define functional requirements
Assembling and Deploying Apps22%- Build and deploy RAG pipelines
- Package and deploy models
- Use Vector Search
Evaluation and Monitoring12%- Monitor deployed applications
- Evaluate model quality and performance
Governance8%- Apply safety filters and guidelines
- Manage permissions and logging
Data Preparation14%- Prepare data for RAG applications
- Manage data quality and chunking
Application Development30%- Implement prompt engineering
- Develop LLM chains
- Integrate Databricks tools (LangChain, etc.)

Databricks-Generative-AI-Engineer-Associate Exam FAQ: Fast Answers for Databricks Candidates

Databricks Certified Generative AI Engineer Associate is an official Databricks exam, registered under exam code Databricks-Generative-AI-Engineer-Associate. Passing it earns the Generative AI Engineer certification at the Associate level. It also links to Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate. As an internationally recognized capacity standard, this credential speaks for your ability wherever your career takes you.

The Databricks Certified Generative AI Engineer Associate syllabus comprises 6 official domains. The heaviest include Evaluation and Monitoring (12%), Assembling and Deploying Apps (22%), and Application Development (30%). The complete outline is above on this page; a short, efficient study plan starts with knowing exactly where the marks live.

The Databricks Certified Generative AI Engineer Associate exam packs 45 questions into 90 minutes. Short-term preparation works best when every session is realistic, so run timed simulations in the TrainingQuiz engine, keep your flag-and-return rhythm tight, and let repeated full-length runs build the pace the clock demands.

Databricks Certified Generative AI Engineer Associate requires Scaled Score (approx. 70%) to pass, with an official registration fee of $200 USD. Retakes bill the full $200 USD again, so speed should never mean gambling. Compress your preparation with the TrainingQuiz practice tests, and book once your scores clear the requirement reliably.

None (Recommended: 6+ months hands-on experience)

Policies change, so verify the current requirements before registering on the official exam page.

Yes to both. TrainingQuiz provides a free demo of the Databricks Certified Generative AI Engineer Associate questions so you can verify the quality first, and after purchase the newest practice material is free for one year from the date of your order. When that year ends, extending the update service costs 50% of the regular price.

Your purchase carries a 100% money-back guarantee with defined conditions. Take the Databricks Certified Generative AI Engineer Associate exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, with the update service on your original purchase retained.

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Databricks Certified Generative AI Engineer Associate Sample Questions:

Question #1

A Generative Al Engineer is building an LLM-based application that has an important transcription (speech-to-text) task. Speed is essential for the success of the application Which open Generative Al models should be used?

  • A. MPT-30B-lnstruct
  • B. DBRX
  • C. whisper-large-v3 (1.6B)
  • D. L!ama-2-70b-chat-hf
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

A generative AI engineer is deploying an AI agent authored with MLflow's ChatAgent interface for a retail company ' s customer support system on Databricks. The agent must handle thousands of inquiries daily, and the engineer needs to track its performance and quality in real-time to ensure it meets service-level agreements. Which metrics are automatically captured by default and made available for monitoring when the agent is deployed using the Mosaic AI Agent Framework?

  • A. No metrics are automatically captured
  • B. Operational metrics like request volume, latency, and errors
  • C. Quality metrics like correctness and guideline adherence
  • D. Both operational and quality metrics
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).

Question #3

A Generative AI Engineer is designing a chatbot for a gaming company that aims to engage users on its platform while its users play online video games.
Which metric would help them increase user engagement and retention for their platform?

  • A. Diversity of responses
  • B. Repetition of responses
  • C. Randomness
  • D. Lack of relevance
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).

Question #4

A Generative Al Engineer has built an LLM-based system that will automatically translate user text between two languages. They now want to benchmark multiple LLM ' s on this task and pick the best one. They have an evaluation set with known high quality translation examples. They want to evaluate each LLM using the evaluation set with a performant metric.
Which metric should they choose for this evaluation?

  • A. NDCG metric
  • B. ROUGE metric
  • C. RECALL metric
  • D. BLEU metric
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).

Question #5

A Generative Al Engineer is developing a RAG system for their company to perform internal document Q & A for structured HR policies, but the answers returned are frequently incomplete and unstructured It seems that the retriever is not returning all relevant context The Generative Al Engineer has experimented with different embedding and response generating LLMs but that did not improve results.
Which TWO options could be used to improve the response quality?
Choose 2 answers

  • A. Increase the document chunk size
  • B. Split the document by sentence
  • C. Fine tune the response generation model
  • D. Use a larger embedding model
  • E. Add the section header as a prefix to chunks
Reveal Solution  Discussion  0

Correct Answer: A,E  🗳️

Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).

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