PDF Version DemoFacing the Databricks-Generative-AI-Engineer-Associate exam without confidence usually means facing it without rehearsal. The 75 Databricks Certified Generative AI Engineer Associate practice questions at ActualPDF replace uncertainty with repetition, and in 2026 that remains the reliable formula.
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 Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Databricks Certified Data Engineer Associate Databricks Certified Machine Learning Associate |
| Passing Score: | Scaled Score (approx. 70%) |
| Exam Price: | $200 USD |
| Exam Duration: | 90 minutes |
| Available Languages: | English, Japanese, Korean, Portuguese (Brazil) |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 45 |
| Sample Questions: |  |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Design Applications | 14% | - Select appropriate models - Design and architect applications - Define functional requirements |
| Application Development | 30% | - Implement prompt engineering - Integrate Databricks tools (LangChain, etc.) - Develop LLM chains |
| Data Preparation | 14% | - Prepare data for RAG applications - Manage data quality and chunking |
| Governance | 8% | - Manage permissions and logging - Apply safety filters and guidelines |
| Evaluation and Monitoring | 12% | - Evaluate model quality and performance - Monitor deployed applications |
| Assembling and Deploying Apps | 22% | - Package and deploy models - Use Vector Search - Build and deploy RAG pipelines |
Questions and Answers About Databricks Certified Generative AI Engineer Associate
Databricks Certified Generative AI Engineer Associate is an official Databricks exam, listed under exam code Databricks-Generative-AI-Engineer-Associate. A passing result earns you the Generative AI Engineer certification at the Associate level. It also ties into Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate, extending its value across your certification roadmap. Employers read this credential as verified competence, which is why it keeps appearing in job requirements.
Expect 45 questions inside 90 minutes on the Databricks Certified Generative AI Engineer Associate exam. That pace punishes hesitation, so rehearse it: the ActualPDF software engine simulates the real exam scene, reminds you of the questions you got wrong, and pushes you to re-practice them until the clock stops being your enemy.
Passing Databricks Certified Generative AI Engineer Associate requires Scaled Score (approx. 70%), and the official registration fee is $200 USD. Retakes charge the full $200 USD again, which is why experienced candidates treat preparation as the cheaper exam fee. Verify your readiness with repeated ActualPDF practice scores above the requirement before you commit to a date.
None (Recommended: 6+ months hands-on experience)
Requirements evolve, so confirm the current conditions before registering on the official exam page.
Yes. ActualPDF provides a free download demo of the Databricks Certified Generative AI Engineer Associate material, so you can check the content before choosing a version. After purchase, a one-year warranty covers you: the latest version is sent to you as it releases, free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your purchase is covered by a 100% money-back guarantee with clear conditions. Take the Databricks Certified Generative AI Engineer Associate exam within 60 days of purchase; if you fail, provide your unqualified result by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and the full refund is processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are not covered. Alternatively, exchange for two other exam products of equal value, free, or wait for updates while keeping your original product's update service.
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The Databricks Certified Generative AI Engineer Associate syllabus spans 6 domains, led by Design Applications (14%), Evaluation and Monitoring (12%), and Application Development (30%). The complete topic list is published above; candidates who study the map first rarely get lost later.
Databricks Certified Generative AI Engineer Associate Sample Questions:
Question 1
A company has a typical RAG-enabled, customer-facing chatbot on its website.
Select the correct sequence of components a user's questions will go through before the final output is returned. Use the diagram above for reference.
A. 1.embedding model, 2.vector search, 3.context-augmented prompt, 4.response-generating LLM
B. 1.response-generating LLM, 2.vector search, 3.context-augmented prompt, 4.embedding model
C. 1.response-generating LLM, 2.context-augmented prompt, 3.vector search, 4.embedding model
D. 1.context-augmented prompt, 2.vector search, 3.embedding model, 4.response-generating LLM
Question 2
A Generative AI Engineer is creating an LLM-powered application that will need access to up-to-date news articles and stock prices.
The design requires the use of stock prices which are stored in Delta tables and finding the latest relevant news articles by searching the internet.
How should the Generative AI Engineer architect their LLM system?
A. Create an agent with tools for SQL querying of Delta tables and web searching, provide retrieved values to an LLM for generation of response.
B. Query the Delta table for volatile stock prices and use an LLM to generate a search query to investigate potential causes of the stock volatility.
C. Download and store news articles and stock price information in a vector store. Use a RAG architecture to retrieve and generate at runtime.
D. Use an LLM to summarize the latest news articles and lookup stock tickers from the summaries to find stock prices.
Question 3
What is the most suitable library for building a multi-step LLM-based workflow?
A. TensorFlow
B. PySpark
C. Pandas
D. LangChain
Question 4
A Generative Al Engineer is ready to deploy an LLM application written using Foundation Model APIs. They want to follow security best practices for production scenarios Which authentication method should they choose?
A. Use a frequently rotated access token belonging to either a workspace user or a service principal
B. Use an access token belonging to any workspace user
C. Use an access token belonging to service principals
D. Use OAuth machine-to-machine authentication
Question 5
A Generative Al Engineer is building a RAG application that answers questions about internal documents for the company SnoPen AI.
The source documents may contain a significant amount of irrelevant content, such as advertisements, sports news, or entertainment news, or content about other companies.
Which approach is advisable when building a RAG application to achieve this goal of filtering irrelevant information?
A. Include in the system prompt that any information it sees will be about SnoPenAI, even if no data filtering is performed.
B. Consolidate all SnoPen AI related documents into a single chunk in the vector database.
C. Keep all articles because the RAG application needs to understand non-company content to avoid answering questions about them.
D. Include in the system prompt that the application is not supposed to answer any questions unrelated to SnoPen Al.
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: C | Question 5 Answer: D |
