Free Databricks-GenAI-Assoc practice test — 330+ Databricks-GenAI-Assoc practice questions with detailed explanations across all 6 official Databricks-GenAI-Assoc exam domains. Every set is scored and drawn from the live question bank — so you practise exactly what the exam tests, not outdated dumps.
Courseiva includes 330+ Databricks Certified Generative AI Engineer Associate practice questions across the official exam domains.
Feature
Courseiva
This free Databricks-GenAI-Assoc practice test mirrors the structure and difficulty of the real Databricks Certified Generative AI Engineer Associate exam. Every question is written against the official 2026 exam blueprint published by Databricks, ensuring you practise exactly what the exam tests — not last year's objectives.
The Databricks-GenAI-Assoc blueprint is divided into 6weighted domains. Questions on this page are distributed proportionally across each domain, so the mix you see here reflects the same weighting you'll face on exam day. High-weight domains like Data Preparation and Application Development contribute the most questions, meaning focused practice on these areas gives you the highest return on study time.
Databricks-GenAI-Assoc Exam Blueprint — 6 Domains
Data Preparation
Application Development
Assembling and Deploying Apps
Evaluation and Monitoring
Governance
Design Applications
25 numbered sets, 6 domain question banks, and targeted sessions — every page is a unique set of questions.
Choose all correct answers
Each chapter page covers one topic in depth — theory, key concepts, and focused practice questions. Use these to close knowledge gaps before returning to full practice tests.
Getting the most from practice questions requires more than just clicking through answers. Here is the study method used by candidates who pass Databricks-GenAI-Assoc on their first attempt:
Answer before revealing
Read each Databricks-GenAI-Assoc question fully, eliminate obviously wrong choices, then commit to an answer before clicking to reveal. This active recall process is what builds lasting knowledge.
Read every explanation
Even when you answer correctly, read the full explanation. Knowing WHY the right answer is correct — and why the distractors are wrong — is what separates a 750 score from a 900 score.
Track weak domains
Note which Databricks-GenAI-Assoc domains you get wrong most often. Then do a targeted 20-30 question session focused only on that domain until your accuracy improves.
Simulate exam pacing
The real Databricks-GenAI-Assoc is 90 minutes long. Use timed sessions to build the concentration and pacing you will need on exam day.
Most candidates who pass Databricks-GenAI-Assoc on their first attempt report doing between 400 and 800 practice questions over 4–8 weeks of preparation. With 330+ questions in the Courseiva bank, you have more than enough material to build that repetition without seeing the same question twice.
Answer each question to reveal the full explanation and correct answer. This starter set is drawn from all 6 exam domains in blueprint proportion. Use the session selector to start a longer focused practice run.
Which Databricks feature is best suited for maintaining the lineage of data used during the preparation of training sets for Generative AI?
Select an answer to reveal the explanation
A team needs to provide fine-grained access control to an LLM application that uses a vector index stored in a Delta table. Which Unity Catalog feature should they use to restrict access to specific rows based on user identity?
Select an answer to reveal the explanation
Refer to the exhibit. What is the most likely cause for this error in a production RAG application?
Select an answer to reveal the explanation
An enterprise LLM application on Databricks is experiencing high latency and inconsistent responses. Which approach best enables observability to identify the root cause of these performance bottlenecks within the LLM pipeline?
Select an answer to reveal the explanation
A GenAI engineer is building a RAG application on Databricks. They have registered a foundation model endpoint in Unity Catalog as a model. The application needs to query the endpoint, and the engineer wants to ensure that only members of the group 'genai_team' can invoke it. Which Unity Catalog privilege must be granted on the model object to allow invocation?
Select an answer to reveal the explanation
When evaluating the performance of a RAG application, which metric is most useful for measuring the quality of the retrieved context?
Select an answer to reveal the explanation
Refer to the exhibit. What is the impact of min_instances: 0 on this deployment?
Select an answer to reveal the explanation
A Generative AI engineer is building a Delta Live Tables pipeline that ingests raw JSON event logs into a bronze table, then uses ai_query to classify each event's free-text field. The classification call is expensive, so the engineer wants to avoid re-running it on events that have already been processed in previous pipeline updates. The source table is append-only and new events arrive continuously. Which Delta Live Tables feature should the engineer configure on the bronze table to prevent reprocessing of previously ingested rows?
Select an answer to reveal the explanation
What is the primary benefit of using MLflow Model Evaluation for generative AI applications compared to manual evaluation methods?
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A developer needs to deploy a custom Python model that requires non-standard library dependencies. Which MLflow feature should the developer use to specify these environment requirements during model logging?
Select an answer to reveal the explanation
Refer to the exhibit. An engineer wants to perform a canary deployment by routing 10% of traffic to a new version (version 6). How should the JSON traffic configuration be modified?
Select an answer to reveal the explanation
A data scientist is using Databricks to fine-tune a large language model. The training data is stored in a Unity Catalog table that contains sensitive customer information. The data scientist needs to read the table but should not be able to see the raw values of certain columns. Which Unity Catalog feature should be used to dynamically mask the sensitive columns based on the user's group membership?
Select an answer to reveal the explanation
Refer to the exhibit. An engineer is configuring a canary deployment for a churn prediction model. Based on the provided traffic configuration, what is the expected behavior of the endpoint?
Select an answer to reveal the explanation
Which CI/CD approach for model deployment best minimizes downtime during a model update?
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When evaluating a generative AI model using the Mosaic AI Model Evaluation tool, what is the primary purpose of providing a 'baseline' dataset?
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Which approach is recommended for managing secrets, such as API keys for external LLM providers, in Databricks?
Select an answer to reveal the explanation
Refer to the exhibit. A developer is deploying a model using the provided JSON configuration. What is the primary benefit of setting 'scale_to_zero_enabled' to true in this production RAG application?
Select an answer to reveal the explanation
Refer to the exhibit. The user is a member of the 'finance_team'. Why might the user encounter an access error when executing this join query?
Select an answer to reveal the explanation
Refer to the exhibit. Why did the analyst group lose access after the table was recreated?
Select an answer to reveal the explanation
An AI engineer is developing a custom Databricks App using Mosaic AI Agent Framework and needs to deploy the application workspace securely. Which deployment artifact and configuration mechanism should the engineer use to define the app dependencies and entry point?
Select an answer to reveal the explanation
Answer all 20 questions to see your domain score breakdown
A structured study plan dramatically increases your chances of passing Databricks-GenAI-Assoc on the first attempt. The most effective approach combines reading the official Databricks documentation or a study guide, watching video explanations for difficult concepts, and then reinforcing everything with daily practice questions.
We recommend the following weekly structure for Databricks-GenAI-Assoc preparation:
Cover each Databricks-GenAI-Assoc domain systematically. Read the exam objectives, watch explanatory content, and do 10–20 practice questions per domain to test understanding as you go.
Run full 50–60 question mixed sessions daily. Review every wrong answer in detail. Identify which domains are consistently scoring below 70% and revisit those study materials.
Do 100–120 question timed sessions to simulate real exam conditions. Aim for consistent scores above 80% before booking your exam date. A score above 80% in practice typically translates to a passing Databricks-GenAI-Assoc score.
On exam day, the Databricks-GenAI-Assoc tests your ability to apply knowledge to realistic scenarios — not just recall definitions. This is why reading explanations and understanding the reasoning behind every answer matters more than simply grinding question volume. Use the high-count sessions (100, 120) in the final weeks as your confidence benchmark.
Questions
~330
On the real exam
Time limit
90 min
Official time limit
Passing score
700/1000
Scaled scoring
The Databricks-GenAI-Assoc exam uses a scaled scoring system — your raw score of correct answers is converted to a score out of 1000. A passing score of 700/1000 does not mean you need 70% of questions correct; the conversion accounts for question difficulty. Consistently scoring above 75–80% on practice tests puts you in a strong position to achieve 700/1000 on the real exam.
Scenario-based questions covering exam objectives with detailed answer explanations.
Yes. Courseiva provides free Databricks Certified Generative AI Engineer Associate practice questions with explanations across the official exam domains. Start with a quick practice test, then continue with topic-based practice, mock exams, missed-question review, bookmarked questions, weak-topic recommendations, and readiness tracking. No account required. Create a free account to unlock per-domain analytics and progress tracking across every certification on the platform. Courseiva is free forever, supported by advertising.
Every question is written against the official Databricks-GenAI-Assoc exam blueprint published by Databricks. Our questions follow the same wording style, scenario complexity, and answer structure as the actual exam. They are original questions — not brain dumps — so you learn the underlying concepts and reasoning, not just memorised answers. Candidates who study with brain dumps often pass but have no transferable knowledge; Courseiva questions make you genuinely competent.
Most candidates who pass Databricks-GenAI-Assoc on their first attempt do 30–60 questions per day. Use the Quick 10 session for daily warm-ups when you are short on time. On study days, run a 50 or 60-question session to build stamina. Reserve 100 and 120-question sessions for the final two weeks when you want to simulate real exam conditions and benchmark your readiness.
The Databricks-GenAI-Assoc covers 6 domains: Data Preparation, Application Development, Assembling and Deploying Apps, Evaluation and Monitoring, Governance, Design Applications. Each domain carries a different weight, so allocate your study time accordingly. The highest-weighted domains — Data Preparation and Application Development — should receive the most attention.
Exam dumps are memorised question-and-answer lists taken from actual exam papers, often obtained illegally and shared without Databricks's authorisation. Using them violates your NDA and Databricks's certification agreement, and can result in certification revocation. Courseiva questions are original — AI-assisted, checked against the official exam objectives, and published under the editorial oversight of an engineer with 12+ years' experience. They test the same knowledge areas using new scenarios and wording. You learn the material, not just the answers.
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