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Last Updated: Sep 15, 2026
No. of Questions: 94 Questions & Answers with Testing Engine
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| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Design Applications | 14% | - Design and architect applications - Select appropriate models - Define functional requirements |
| Assembling and Deploying Apps | 22% | - Build and deploy RAG pipelines - Package and deploy models - Use Vector Search |
| Evaluation and Monitoring | 12% | - Monitor deployed applications - Evaluate model quality and performance |
| Governance | 8% | - Apply safety filters and guidelines - Manage permissions and logging |
| Data Preparation | 14% | - Prepare data for RAG applications - Manage data quality and chunking |
| Application Development | 30% | - Implement prompt engineering - Develop LLM chains - Integrate Databricks tools (LangChain, etc.) |
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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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?
Correct Answer: C 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
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?
Correct Answer: B 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
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?
Correct Answer: A 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
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?
Correct Answer: D 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
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
Correct Answer: A,E 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
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