Practice: Databricks Certified Generative AI Engg Associate

The Databricks Certified Generative AI Engineer Associate certification validates your expertise in designing and deploying cutting-edge LLM-enabled solutions using the Databricks platform. This certification exam assesses your ability to tackle complex problems by breaking them down into manageable tasks and selecting the optimal models, tools, and approaches from the rapidly evolving generative AI landscape.

You'll demonstrate proficiency in leveraging key Databricks tools, including:

• Vector Search: For building powerful semantic similarity searches.
• Model Serving: To efficiently deploy models and complete solutions.
• MLflow: For robust solution lifecycle management.
• Unity Catalog: Ensuring strong data governance.

Upon achieving this certification, you'll be prepared to build and deploy high-performing RAG applications and sophisticated LLM chains, fully utilizing the power of Databricks' comprehensive toolset.

Exam Content Breakdown:

• 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
• Number of Questions: 45 scored questions
• Time Limit: 90 minutes
• Registration Fee: $200
• Question Type: Multiple choice
• Test Aides: None allowed
• Languages: English, 日本語, Português BR, 한국어
• Delivery Method: Online proctored
• Prerequisites: None, but related training is highly recommended.
• Recommended Experience: 6+ months of hands-on experience with generative AI solutions.
• Validity Period: 2 years
• Recertification: Required every two years. Take the current version of the exam to maintain your certified status.

Unscored Content: The exam may include unscored items for statistical analysis. These items are not identified and do not affect your score. The total number of items delivered may exceed the stated number due to unscored content.

Related Training:

• Instructor-led: [Generative AI Engineering With Databricks](link to training)
• Databricks Academy (Self-paced):
  • [Generative AI Solution Development (RAG)](link to module)
  • [Generative AI Application Development (Agents)](link to module)
  • [Generative AI Application Evaluation and Governance](link to module)
  • [Generative AI Application Deployment and Monitoring](link to module)

Getting Ready for the Exam:

• Review the [Databricks Certified Generative AI Engineer Associate Guide](link to guide)
• Take the related training.
• Register for the exam.
• Review technical requirements and run a system check.
• Revisit the exam guide to identify knowledge gaps.
• Study to address those gaps.
• Take your exam!

Technical Note: All machine learning code within the exam will be in Python. Data manipulation code for non-ML tasks may be in SQL.