Objective 1.5 · Domain 1 · 17% of the exam
Apply decomposition techniques for complex problem solving
Decomposition: breaking a task too large or too vague for one call into steps that can each be prompted, tested and evaluated. Watch for the distinction between decomposing for accuracy, where each step becomes easier to get right, and decomposing for observability, where each step can be inspected when the whole thing goes wrong. Stems usually signal which one they care about.
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The rest of domain 1: Solution Design & Architecture
This domain is 17% of a scored form, about 11 of the 63 questions, spread across 6 objectives. Drill the whole domain or pick another objective below.
- 1.1Translate business problems into Claude-based AI solutions(6)
- 1.2Design end-to-end architectures (input → processing → output → feedback loops)(6)
- 1.3Select appropriate architectural patterns (workflow, agentic, augmented LLM)(6)
- 1.4Design multi-agent systems and orchestration strategies(5)
- 1.6Align solutions to business value pillars (efficiency, transformation, productivity, cost, performance SLAs)(6)
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