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Databricks Certified Context Engineer Associate

Use Databricks to design and govern context for AI agent systems

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Databricks Context Engineer Associate - Beta

The Databricks Certified Context Engineer Associate certification exam assesses an individual's ability to design, assemble, and govern the information that AI agent systems receive at inference time using Databricks.

This includes structuring instructions and system prompts and configuring retrieval systems such as Vector Search to surface relevant knowledge at inference time. It also covers designing memory architectures using Lakebase and MLflow for state persistence across sessions, integrating agents with tools and data sources using protocols such as MCP, and managing context window constraints through compaction and trimming strategies. Governance of what enters the context relies on Unity Catalog's metadata layer, including data quality, PII handling, and policy enforcement. The exam also covers context strategies for multi-agent and long-horizon workflows, and evaluating context engineering decisions empirically to assess whether agents perform better or worse as context is tuned. Individuals who pass this certification exam can be expected to build and manage the information environment for AI agent systems on Databricks, ensuring agents receive the relevant enterprise context needed to perform their tasks reliably.

Assessment Details

Type: Live certification beta

Total number of questions: approximately 90*

Time limit: 120 minutes

Registration fee: $200 One free attempt will be offered onsite at Summit.

Question types: Multiple choice

Test aides: None allowed

Languages: English

Delivery Method: Live proctored at DAIS 2026

Beta Note: No result will be available at the end of the exam during Summit. Test takers will be notified of results approximately six weeks later.

Prerequisites: None, but related training highly recommended

Recommended experience: 6+ months of hands-on experience performing the context engineering solutions tasks outlined in the exam guide.

Validity period: 2 years

Recertification: Recertification is required every two years to maintain your certified status. To recertify, you must take the current version of the exam launched after the beta test is complete.

*Beta question count: This beta contains more questions than the final exam, which is normal. Additional time is factored in to account for the larger question count.

Getting Ready for the Exam

  1. Review the Databricks Certified Context Engineer Associate Guide to understand what will be on the exam
  2. Take the related training and preparation outlined in the Exam Guide
  3. Review the exam guide again to identify any gaps
  4. Study to fill in the gaps
  5. Request an exam attempt from our staff at the certification room during Summit. One per attendee, walk-ins only, no reservations.
  6. Take your exam with us live!

All code within this exam will be in Python. In the case of workflows or code not specific to programmatic tasks, data manipulation code could be provided in SQL.