Databricks Certified Generative AI Engineer Associate
Use Databricks to build performant generative AI solutions
Databricks Certified Generative AI Engineer Associate
The Databricks Certified Generative AI Engineer Associate certification exam assesses an individual’s ability to design and implement LLM-enabled solutions using Databricks. This includes problem decomposition to break down complex requirements into manageable tasks as well as choosing appropriate models, tools and approaches from the current generative AI landscape for developing comprehensive solutions. It also assesses Databricks-specific tools such as Vector Search for semantic similarity searches, Model Serving for deploying models and solutions, MLflow for managing a solution lifecycle, and Unity Catalog for data governance. Individuals who pass this exam can be expected to build and deploy performant RAG applications and LLM chains that take full advantage of Databricks and its toolset.
The exam covers:
- Design Applications – 14%
- Data Preparation – 14%
- Application Development – 30%
- Assembling and Deploying Apps – 22%
- Governance – 8%
- Evaluation and Monitoring – 12%
Assessment Details
Type: Proctored certification
Total number of questions: 45
Time limit: 90 minutes
Registration fee: $200
Question types: Multiple choice
Test aides: None allowed
Languages: English
Delivery method: Online proctored
Prerequisites: None, but related training highly recommended
Recommended experience: 6+ months of hands-on experience performing the generative AI 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. Additional time is factored into the exam to account for this content.
Related Training
- Instructor-led: Generative AI Engineering With Databricks
- Self-paced (available in Databricks Academy): Generative AI Engineering With Databricks
Getting Ready for the Exam
- Review the Databricks Certified Generative AI Engineer Associate Guide to understand what will be on the exam
- Take the related training
- Register for the exam
- Review the technical requirements and run a system check
- Review the exam guide again to identify any gaps
- Study to fill in the gaps
- Take your exam!
All machine learning 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.
Registration
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