This course provides 4 full-length practice exams designed to help you assess your readiness and build confidence before taking the certification exam. Each practice exam contains questions covering the key areas of context engineering and the Databricks technologies and concepts included in the certification exam.

You will practise questions covering context engineering fundamentals, system prompt and instruction design, knowledge retrieval, Genie configuration, Databricks AI Search, RAG, memory architecture with Lakebase and MLflow, tool design, MCP, context compression and compaction, and multi-agent and long-horizon task design.

The practice exams are designed to help you identify knowledge gaps, reinforce important concepts, and become familiar with the types of scenario-based questions you may encounter during your certification preparation.

What You'll Get

• 4 full-length practice exams to test your knowledge and exam readiness

This course is ideal for AI engineers, data engineers, data scientists, developers, context engineers, and Databricks professionals preparing for the Databricks Certified Context Engineer Associate certification.

No formal prerequisites are required to take these practice exams. However, familiarity with Databricks, generative AI, LLMs, prompt engineering, RAG, AI agents, retrieval systems, and context windows is recommended.

Use these practice exams as part of your overall certification preparation to measure your progress, focus your revision, and build confidence before exam day.

Please note: This is a practice exam course and is not affiliated with, endorsed by, or sponsored by Databricks. The questions are independently created for exam preparation and are not actual certification exam questions.