Databricks GenAI Engineer Practice: FeatureSpec, Retrieval Metrics & AI Gateway Controls

Databricks Certified Generative AI Engineer Associate practice exam walkthrough. Theme: FeatureSpec Traps, Retrieval Metrics & Gateway Controls In this session we walk through 20 questions with answer reveals and explanations for Databricks DGAI certification candidates. Topics in this batch: FeatureSpec components, retrieval evaluation metrics, parent-child RAG chunking, AI Gateway guardrails, MLflow 3 Unity Catalog, Foundation Model API multimodal. Keywords: Databricks DGAI, Databricks Certified Generative AI Engineer Associate, RAG pipeline design, LLM fine-tuning on Databricks, vector search and embeddings, prompt engineering techniques, LLM evaluation metrics, MLflow LLM experiment tracking, Databricks Model Serving, Foundation Models API, LangChain on Databricks, Unity Catalog for AI governance, responsible AI and bias mitigation, practice exam walkthrough, Databricks certification 2025. Chapters: 0:00 What this session covers 0:17 Question 1 + extra explanation 3:14 Question 2 5:13 Question 3 7:04 Question 4 + extra explanation 9:56 Question 5 11:53 Question 6 13:37 Question 7 15:44 Question 8 17:22 Question 9 19:05 Question 10 20:54 Question 11 22:27 Question 12 24:17 Question 13 25:58 Question 14 + extra explanation 28:47 Question 15 + extra explanation 31:29 Question 16 33:33 Question 17 35:17 Question 18 37:01 Question 19 38:54 Question 20 + extra explanation 41:46 Takeaways 42:18 Wrap-up Use this as an active practice session: pause during each countdown, choose your answer, then compare your reasoning with the explanation. If you need more practice questions, visit https://certcompanion.com/exams #Databricks #DGAI #RAGPipeline