Databricks GENAI-ASSOC App Development Guide

Study Databricks GENAI-ASSOC App Development: key concepts, common traps, and exam decision cues.

This is the heaviest domain on the exam. Databricks is testing how you turn prepared data and a good system design into a working application with the right prompt structure, model choices, safety controls, and lifecycle tooling.

Work this domain in order

Lesson Focus
3.1 Prompts, Frameworks & Chains Learn how prompt construction and framework fit relate to retrieval-backed development.
3.2 Models, Embeddings & Selection Learn how to choose models using model cards, context length, and experiment signals.
3.3 Guardrails & Debugging Learn how to diagnose weak responses and apply guardrails and safety controls.
3.4 MLflow & Agents Learn how MLflow, Agent Framework, and multi-agent patterns fit the Databricks lifecycle.

Fast routing inside this chapter

If the question is really about… Go first to…
prompt augmentation or framework fit 3.1 Prompts, Frameworks & Chains
model choice, embeddings, or experiment metrics 3.2 Models, Embeddings & Selection
safety, guardrails, or quality debugging 3.3 Guardrails & Debugging
MLflow, Agent Framework, or multi-agent design 3.4 MLflow & Agents

What strong answers usually do

  • fix the real failure mode before changing the model
  • choose models and embeddings from evidence, not hype
  • treat safety and lifecycle tooling as part of development, not cleanup work

In this section

Revised on Sunday, May 10, 2026