Objective 1.4 · Domain 1 · 17% of the exam
Design multi-agent systems and orchestration strategies
More agents does not mean more capability, and this objective exists to test whether you know it. Every hand-off between agents is a place for context to be lost and cost to be duplicated, so the exam rewards the design with the fewest agents that still separates genuinely different concerns. A supervisor pattern applied to a problem a single loop would handle is a recurring wrong answer.
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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)
- 1.5Apply decomposition techniques for complex problem solving(5)
- 1.6Align solutions to business value pillars (efficiency, transformation, productivity, cost, performance SLAs)(6)
One objective is a narrow slice. A full-length timed mock is what tells you whether the whole thing holds together.
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