Databricks Generative AI Engineer Associate: Mock Tests-2026

About this course

Are you preparing for the Databricks Certified Generative AI Engineer Associate Exam (2026) and looking for structured, exam-focused practice?This course is designed to help you succeed with 2 high-quality mock tests that reflect the latest exam pattern and real-world scenarios. Each question is carefully crafted to test your understanding of Generative AI application design, RAG systems, LLM selection, and deployment workflows within the Databricks ecosystem.The course provides detailed explanations for every question, enabling you to understand core concepts, eliminate incorrect options, and strengthen your problem-solving approach.Syllabus Coverage1. Design ApplicationsPrompt engineering, model task selection, chaining components, agent frameworks, and business use case mapping2. Data PreparationChunking strategies, document processing, Delta Lake, retrieval evaluation, and RAG optimization3. Application DevelopmentLangChain tools, prompt tuning, LLM selection, embeddings, MLflow, guardrails, and multi-agent systems4. Assembling and DeploymentRAG pipelines, vector search, model serving, Unity Catalog, CI/CD, APIs, and application interfaces5. GovernanceSecurity, masking techniques, compliance, and safe AI practices6. Evaluation and MonitoringModel evaluation metrics, MLflow tracking, inference monitoring, cost control, and performance optimizationWhat You Will GainClear understanding of exam-level Generative AI conceptsHands-on practice with realistic scenario-based questionsStrong knowledge of RAG, LLMs, and Databricks toolsConfidence to attempt and pass the certification examCourse StructureMock Test 1 – Full-length exam simulationMock Test 2 – Full-length exam simulationDetailed explanations for all que

Course objectives

• to provide structured exam-focused practice
• to help students gain confidence for the certification exam