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| Objective Domain | Weight | Difficulty | Our Study Strategy |
|---|---|---|---|
| Application Development & LLM Chains | 30% | Critical | Don't sleep on this. Databricks tests chain composition and prompt-routing logic heavily. Master how tools and retrievers pass serialized context into model signatures. |
| Assembling, Vector Search & Model Serving | 22% | Critical | This catches people off-guard. You must know the exact differences between Delta Sync Index and Direct Access Index in Vector Search, plus how to package custom pyfunc dependencies for serving. |
| Data Preparation & Chunking Strategy | 14% | Medium | Focus on the trade-offs. Know when semantic chunking beats fixed-size splitting based on document hierarchy, embedding model context windows, and retrieval precision. |
| Design Architecture & Governance | 22% | Easy | Easy marks if you know the basics. Don't overthink it—nail Unity Catalog permission inheritance, prompt safety guardrails, and model selection criteria to secure free points. |
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