Objective 1.1 · Domain 1 · 17% of the exam
Translate business problems into Claude-based AI solutions
You are given a stated business problem and asked to turn it into a system built on Claude. That means working out which part of a workflow is genuinely language-shaped, what "good" looks like in the business's own terms, and where a model earns its place over a rule or a search index. Items here punish over-reach. The credited answer is often the narrower scope that solves the stated problem, not the ambitious platform solving a problem nobody asked 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.
- 1.2Design 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)
- 1.5Apply 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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