Domain 6 – Prompt and Context Engineering (11.0%)

3 lessons, each ending with a practice scenario (Pro)

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1. ✓6.1 — Context EngineeringContext engineering is “the set of strategies for curating and maintaining the optimal set of tokens during LLM inference.” Prompt engineering asks what the instructions say; context engineering asks what is in the window at all.Scenario: Pro
2. ✓6.2 — Prompt EngineeringFour choices: where an instruction sits, how clearly it is worded, what output shape it asks for, and how incoming material is marked off. Test one change at a time.Scenario: Pro
3. ✓6.3 — Output HandlingStructured output is a reply in a fixed shape (usually JSON matching a schema). Well-formed = parses and matches the shape. Correct = values are right.Scenario: Pro