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 Applications

Prompt engineering, model task selection, chaining components, agent frameworks, and business use case mapping2. Data Preparation

Chunking 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. Governance

Security, masking techniques, compliance, and safe AI practices6. Evaluation and Monitoring

Model evaluation metrics, MLflow tracking, inference monitoring, cost control, and performance optimization

What You Will GainClear understanding of exam-level Generative AI concepts

Hands-on practice with realistic scenario-based questions

Strong knowledge of RAG, LLMs, and Databricks tools

Confidence to attempt and pass the certification exam

Course Structure

Mock Test 1 – Full-length exam simulation

Mock Test 2 – Full-length exam simulation

Detailed explanations for all que

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