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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

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 AI 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: Proctored certification

Total number of scored questions: 45

Time limit: 90 minutes

Registration fee: $200

Question types: Multiple choice

Test aides: None allowed

Languages: English

Delivery Method: Online or test center

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. Please review the “Getting Ready for the Exam” section below to prepare for your recertification exam.

Unscored Content: Exams may include unscored items to gather statistical information for future use. These items are not identified on the form and do not impact your score. If unscored items are present on the exam, the actual number of items delivered will be higher than the total stated above. Additional time is factored into account for this content.

Getting Ready for the Exam

  1. Review the Databricks Certified Context Engineer Associate Exam Guide to understand what will be on the exam
  2. Take the related training and preparation outlined in the Exam Guide
  3. Use the AI Prep Guide to prepare
  4. Register for the exam
  5. Review the technical requirements and run a system check
  6. Review the exam guide again to identify any gaps
  7. Study to fill in the gaps
  8. Take your exam!

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