Udemy - Databricks Generative AI Engineer Associate Exam Prep

Databricks Generative AI Engineer Associate Exam Prep

https://WebToolTip.com

Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 2m | Size: 1.29 GB

Top 100 scenarios to think like the exam and refresh every key Databricks GenAI topic

What you'll learn
Understand the major exam domains for the Databricks Certified Generative AI Engineer Associate certification.
Identify when to use Retrieval-Augmented Generation, Vector Search, Feature Serving, fine-tuning, or agent-based workflows.
Understand how to prepare data for GenAI applications using Delta tables, OCR, text cleaning, chunk-level records, and source metadata.
Recognize when a scenario requires Vector Search for unstructured document retrieval versus Feature Serving for fresh structured values.
Use MLflow concepts for experiment tracking, model logging, model signatures, model artifacts, and lifecycle management.
Understand when MLflow PyFunc is needed for custom inference logic such as preprocessing, prompt formatting, model calls, and post-processing.
Understand how Databricks Model Serving supports production deployment of GenAI applications and model endpoints.
Identify deployment-related clues such as latency, throughput, API credentials, environment variables, secrets, and Provisioned Throughput.
Apply Unity Catalog concepts for governance, access control, lineage, model sharing, sensitive data protection, and cross-workspace model access.
Understand safety and guardrail patterns, including contextual guardrails, safety guardrails, security guardrails, and compliance guardrails.
Evaluate GenAI and RAG systems using metrics such as precision, recall, Recall@k, NDCG, BLEU, ROUGE, and latency.
Monitor production GenAI applications for token usage, cost, latency, throughput, multilingual behavior, and response quality.
Recognize common certification distractors and understand why technically correct options may still not be the best exam answer.
Revise key Databricks GenAI exam concepts quickly using the included cheat sheet.

Requirements
Basic understanding of Generative AI, LLMs, prompts, embeddings, and RAG