Reference books pile up; preparation time does not. GuideTorrent keeps the Databricks Certified Generative AI Engineer Associate syllabus inside one package — printable PDF, Windows desktop engine, and online engine — each carrying the same 94 practice questions for the Databricks-Generative-AI-Engineer-Associate exam, installable anywhere.
Databricks Databricks-Generative-AI-Engineer-Associate Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Generative AI Engineer Associate |
| Exam Number: | Databricks-Generative-AI-Engineer-Associate |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 45-60 |
| Exam Format: | Multiple select, Multiple choice |
| Exam Price: | USD 200 |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Databricks Certified Data Engineer Associate Databricks Certified Machine Learning Associate |
| Available Languages: | English |
| Recommended Training: | Databricks Academy - Generative AI Courses Mosaic AI Documentation |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: |  |
| Exam Way: | Online proctored exam |
| Pre Condition: | No strict prerequisites, but experience with Python, machine learning fundamentals, and Databricks platform is recommended. |
| Official Syllabus URL: | https://www.databricks.com/learn/certification |
Databricks Databricks-Generative-AI-Engineer-Associate Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Prompt Engineering | - Prompt evaluation
|
| Foundations of Generative AI | - Generative AI Concepts
|
| Responsible AI and Governance | - AI safety and ethics
|
| Databricks Mosaic AI Platform | - Model development and serving
|
| Retrieval-Augmented Generation (RAG) | - RAG architecture
|
Databricks-Generative-AI-Engineer-Associate Exam FAQ: Answers Before You Book
Sign up through Databricks's official registration channels:
The exam itself is delivered via Online proctored exam, so pick the delivery option that suits you when booking.
No strict prerequisites, but experience with Python, machine learning fundamentals, and Databricks platform is recommended. These requirements belong to Databricks and may be revised, so check the current rules on the official exam page: https://www.databricks.com/learn/certification before committing to a Databricks Certified Generative AI Engineer Associate registration.
The Databricks Certified Generative AI Engineer Associate exam contains 45-60 questions within 90 minutes. Knowing the content matters, but the clock decides who finishes — practice committing and moving on. Full-length timed sessions in the GuideTorrent test engine are the most direct way to rehearse that discipline before the real Databricks-Generative-AI-Engineer-Associate exam.
Databricks spreads the Databricks Certified Generative AI Engineer Associate syllabus over 5 areas, with Databricks Mosaic AI Platform, Prompt Engineering, Foundations of Generative AI carrying the most weight. Study proportionally to those shares — the complete outline is in the section above this page.
Yes — GuideTorrent offers a free demo with real Databricks Certified Generative AI Engineer Associate sample questions and answers. Download it first; purchase the full product only when you are satisfied with what you see. After buying, 365 days of free updates are included — once that year ends, renew the update service at a 50% discount from your member zone.
The Databricks-Generative-AI-Engineer-Associate exam is Databricks's official certification test — pass it and the Databricks Certified Generative AI Engineer Associate certificate is yours, a credential at the Associate level. It exists to measure practical IT skills objectively, which is why hiring managers treat it as a reliable benchmark — and why candidate numbers keep rising. It also relates to Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate, so the value compounds as you progress.
Two steps complete your order, and your Databricks-Generative-AI-Engineer-Associate product is emailed to your mailbox within one minute of payment — download the attachment and start studying. If nothing arrives within 2 hours, check spam and contact support for an immediate resend. On failure: the refund policy applies when you sat the corresponding Databricks-Generative-AI-Engineer-Associate exam within 60 days of purchase. Submit a scanned enrollment slip and the official Score Report PDF within 2 days after the exam, and the refund is processed within 7 days. Excluded are attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders — and the candidate name must match the payer name. Prefer to continue preparing? Exchange your product for two free exam products of equal value, keeping the update service on your original purchase.
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Once the training is done, measure it with the 94 practice questions for the Databricks-Generative-AI-Engineer-Associate exam from GuideTorrent — the test engine simulates the real exam environment so there are no surprises.
Databricks Certified Generative AI Engineer Associate Sample Questions:
A Generative AI Engineer at an automotive company would like to build a question-answering chatbot to help customers answer specific questions about their vehicles. They have:
* A catalog with hundreds of thousands of cars manufactured since the 1960s
* Historical searches with user queries and successful matches
* Descriptions of their own cars in multiple languages
They have already selected an open-source LLM and created a test set of user queries. They need to discard techniques that will not help them build the chatbot. Which do they discard?
- A. Implementing metadata filtering based on car models and years
- B. Setting chunk size to match the model ' s context window to maximize coverage
- C. Fine-tuning an embedding model on automotive terminology
- D. Adding few-shot examples for response generation
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
A Generative Al Engineer is developing a RAG application and would like to experiment with different embedding models to improve the application performance.
Which strategy for picking an embedding model should they choose?
- A. Pick an embedding model with multilingual support to support potential multilingual user questions
- B. Pick the most recent and most performant open LLM released at the time
- C. pick the embedding model ranked highest on the Massive Text Embedding Benchmark (MTEB) leaderboard hosted by HuggingFace
- D. Pick an embedding model trained on related domain knowledge
Correct Answer: D 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
A Generative Al Engineer is tasked with developing an application that is based on an open source large language model (LLM). They need a foundation LLM with a large context window.
Which model fits this need?
- A. DBRX
- B. MPT-30B
- C. Llama2-70B
- D. DistilBERT
Correct Answer: C 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
A Generative AI Engineer needs to allocate costs for an agent deployed via Agent Framework behind AI Gateway. The finance team requires daily reporting by workspace and endpoint, including token usage and request counts. The engineer wants to query this data with SQL and join it to an internal cost-center mapping table.
Which table type best serves their needs?
- A. MLflow experiment run tables.
- B. AI Gateway usage table.
- C. Inference Tables.
- D. System Serving, Served Entities table.
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
A Generative AI Engineer has been asked to build an LLM-based question-answering 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?
- A. 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 answers.
- B. 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 answers.
- C. For the question-answering application, prompt engineering and an LLM are required to generate answers.
- D. The LLM needs to be frequently with the new documents in order to provide most up-to-date answers.
Correct Answer: B 🗳️
Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).
