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| Section | Weight | Objectives |
|---|---|---|
| Solution Design & Architecture | 17% | - End-to-end architecture design - Translating business problems into Claude-based AI solutions - Alignment with business value, cost, performance, and SLAs - Decomposition techniques for complex problem solving - Architectural patterns
|
| Evaluation, Testing & Optimization | 16% | - A/B testing - Evaluation metrics and datasets - Evaluation framework design - System issue diagnosis - Production monitoring and optimization - Cost and performance optimization |
| Developer Productivity & Operational Enablement | 7% | - Developer enablement - AI-assisted developer workflows - Claude tooling configuration for teams - Debugging and operational issue resolution |
| Governance, Safety & Risk Management | 14% | - AI safety and guardrails - Human-in-the-loop validation - Regulatory and compliance requirements - Security and risk management - Ethical AI considerations |
| Stakeholder Communication & Lifecycle Management | 14% | - Service-level agreements - Solution lifecycle management - Discovery and requirements gathering - Stakeholder management - Communicating architectural decisions - Architecture documentation |
| Integration | 19% | - Claude integration mechanisms
- RAG pipeline design
|
| Claude Models, Prompting & Context Engineering | 13% | - Claude model selection and trade-offs - System prompts and prompt templates - Prompt reuse and context engineering strategies - Guardrails - Context window optimization |
Question 1
A healthcare organization is evaluating two Claude-powered AI architectures for a clinical documentation assistant. Architecture X produces higher output quality scores but costs $0.18 per documentation session and averages 4.2 seconds per response. Architecture Y scores slightly lower on quality metrics but costs $0.09 per session and averages 2.1 seconds per response. The stated SLA requires responses under 3 seconds, and the annual volume is projected at 2 million documentation sessions.
Which evaluation approach correctly applies business value pillar analysis to this decision?
A. Eliminate Architecture X on SLA grounds, then evaluate Architecture Y against the efficiency and solution cost pillars by calculating annual cost difference and assessing whether the quality delta materially impacts clinical workflow productivity.
B. Select Architecture Y based solely on the 50% cost reduction, since solution cost is the most important value pillar in healthcare budget-constrained environments.
C. Select Architecture X because the higher quality scores justify the cost premium, and any SLA gap can be addressed through infrastructure optimization after deployment.
D. Recommend a hybrid approach using Architecture X for complex cases and Architecture Y for routine cases, without additional analysis, since this preserves quality where it matters most.
Question 2
You are listing characteristics of strong architectural-decision communication.
Which two characteristics belong on the list? (Select two.)
Each correct answer presents a complete solution.
A. Use of a consistent template across the team to standardize the visual presentation of decisions.
B. Alternatives considered along with the criteria that were used to evaluate each alternative.
C. Ownership and review cadence for revisiting the decision when conditions or assumptions change.
D. Omission of rejected alternatives to keep the decision document focused and concise for readers.
E. Distribution to a standing review forum with mandatory attendance from senior engineering leaders.
Question 3
You are configuring tool permissions for a Claude-based assistant. The assistant's defined responsibilities require read access to a knowledge base and write access to a draft queue, and nothing else.
Which scoping design best applies least privilege?
A. Disable all tools entirely to achieve a minimal permission surface, accepting that the assistant can no longer perform the read-knowledge-base or write-draft-queue tasks it was designed for.
B. Allow access to every tool in the catalog and rely on the model to decline tools it should not use.
C. Per-role allow-list of exactly the read-knowledge-base and write-draft-queue tools, enforced at the orchestration layer.
D. Allow access to all tools with read permissions globally and restrict write permissions to the draft- queue tool, without scoping to only the specific tools required for defined tasks.
Question 4
A business sponsor has requested an AI solution to "improve customer experience." The sponsor cannot articulate which customer journey is failing, which metric reflects the failure, or which decisions the AI should support. The sponsor is asking you to begin design work next week.
Which delegation-competency action should you take first?
A. Begin prototyping a generic assistant against the broad request before the next deadline.
B. Facilitate a structured discovery to define the failing decision and the target metric.
C. Propose a fixed scope that you commit to by default based on your own assumptions.
D. Recommend that the sponsor revise the request and resubmit it later for evaluation.
Question 5
You are operating an interactive assistant whose dominant performance constraint is per-turn latency. Quality on routine turns is already acceptable.
Which configuration adjustment most directly improves latency without disproportionately damaging quality?
A. Increase retrieval depth to the corpus maximum to improve recall regardless of latency.
B. Reduce retrieval depth to the top-k passages that historically cover the answer, and cache stable system- prompt content.
C. Switch every turn to the heaviest available model to maximize output quality, accepting that the increased model latency will worsen the per-turn SLO rather than improve it.
D. Disable prompt caching entirely to ensure fresh context processing on every request, preventing stale prefix content from affecting latency-sensitive interactions.
Solutions:
| Question 1 Answer: A | Question 2 Answer: B,C | Question 3 Answer: C | Question 4 Answer: B | Question 5 Answer: B |
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