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| Section | Weight | Objectives |
|---|---|---|
| Solution Design & Architecture | 17% | - Translating business problems into Claude-based AI solutions - End-to-end architecture design - Multi-agent systems and orchestration - Architectural patterns
- Alignment with business value, cost, performance, and SLAs |
| Evaluation, Testing & Optimization | 16% | - Production monitoring and optimization - Evaluation framework design - Evaluation metrics and datasets - A/B testing - System issue diagnosis - Cost and performance optimization |
| Stakeholder Communication & Lifecycle Management | 14% | - Stakeholder management - Discovery and requirements gathering - Communicating architectural decisions - Service-level agreements - Architecture documentation - Solution lifecycle management |
| Governance, Safety & Risk Management | 14% | - Regulatory and compliance requirements - Security and risk management - Ethical AI considerations - AI safety and guardrails - Human-in-the-loop validation |
| Developer Productivity & Operational Enablement | 7% | - Developer enablement - Debugging and operational issue resolution - Claude tooling configuration for teams - AI-assisted developer workflows |
| Claude Models, Prompting & Context Engineering | 13% | - Prompt reuse and context engineering strategies - Claude model selection and trade-offs - System prompts and prompt templates - Guardrails - Context window optimization |
| Integration | 19% | - Claude integration mechanisms
- Authentication and authorization analysis - RAG pipeline design
|
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NEW QUESTION # 34
You are integrating Claude Code into a team workflow and must complete the design and configuration steps before piloting the integrated workflow with a small group.
Which two steps must be completed BEFORE piloting the integrated workflow? (Select two.) Each correct answer presents part of the solution.
Answer: B,D
Explanation:
The pilot must test a deliberately designed workflow, not technology added without role boundaries. Option B identifies where Claude provides measurable value and where approval, accountability, or consequential decisions must remain human responsibilities. Option E establishes the technical environment required for consistent pilot execution: repository-shared MCP servers, scoped permissions, specialized subagents, and persistent project instructions. Iteration in Option D necessarily follows observed pilot findings. Formal approval from every manager is unnecessarily broad unless required by organizational governance. Complete runbooks and final handoff documentation mature after the workflow has been validated, although essential pilot procedures must exist. Anthropic documents project-level instructions, permissions, MCP servers, and subagents as complementary mechanisms for team workflows. Claude Code extension overview
NEW QUESTION # 35
You are running a discovery session with a business sponsor who asks for "an AI system to fix our customer escalations." Which approach best yields actionable requirements?
Answer: C
Explanation:
The sponsor's statement expresses a desired outcome but does not define an implementable requirement.
Option B converts the vague request into concrete information about users, workflow triggers, expected resolutions, decision boundaries, and non-functional constraints. These findings can then be translated into measurable success criteria, evaluation cases, integration requirements, and escalation rules. Anthropic's evaluation guidance states that an LLM application should begin with specific, measurable, achievable, and relevant success criteria. Option A prematurely treats an aspiration as a complete specification. Option C incorrectly transfers discovery responsibility entirely to the sponsor, while Option D imports assumptions from an unrelated context. Effective Claude architecture requires traceability from the business problem through requirements, evaluation measures, design decisions, and production acceptance criteria. Anthropic:
Define success criteria and build evaluations
NEW QUESTION # 36
You are evaluating model-selection claims used by a peer team.
For each statement, select yes if the statement is generally true. Otherwise, select no.
Answer:
Explanation:
Explanation:
Yes, Yes, No, Yes, No
More capable reasoning configurations generally require greater computation, produce higher latency, and may consume larger token or rate-limit allocations than lighter alternatives. This makes the first statement generally accurate, although actual performance must be measured under the organization's specific provider and service tier.
Representative workload testing is essential because generic benchmark rankings do not establish performance on the organization's prompts, data, edge cases, tools, or required output format. Anthropic recommends benchmark tests specific to the use case, using actual prompts and data, followed by comparison of accuracy, quality, edge-case behavior, and cost. Choosing the Right Model The strongest model is not automatically the correct production choice. Model selection must balance capability, speed, cost, throughput, and operational constraints. Tiered routing implements this principle by serving predictable requests with an efficient model and escalating difficult cases to a more capable model.
Anthropic documents multi-model strategies in which lower-cost workers handle most traffic while harder decisions are escalated.
Recency is also not a valid selection criterion. A newly announced model must pass the workload's existing evaluation, security, latency, and cost gates before replacing a validated production model.
Study Guide references/topics: Model trade-offs; representative evaluations; tiered routing; escalation architectures; cost-capability optimization; model migration validation.
NEW QUESTION # 37
You are documenting an architectural decision to support future audit and onboarding.
Which artifact is the strongest fit?
Answer: D
Explanation:
An Architecture Decision Record is designed to preserve a significant architectural choice in a concise, durable, and reviewable form. The context explains the problem, constraints, and forces that shaped the decision. The decision section records the selected approach. Alternatives demonstrate that other viable options were evaluated, while consequences identify benefits, costs, limitations, operational obligations, and residual risks. The date and authors establish accountability and historical sequence.
This structure supports audit because a reviewer can trace why a model, integration pattern, retrieval architecture, security boundary, or deployment approach was chosen. It also supports onboarding by preventing new team members from interpreting intentional design choices as arbitrary implementation details.
A slide deck may communicate a decision at a meeting but is weak as the sole authoritative record when it lacks written rationale. A code comment is too localized and may not capture system-level implications or rejected alternatives. A verbal conversation creates no durable evidence and depends entirely on individual memory.
The ADR should be version-controlled, linked to affected requirements and implementation artifacts, assigned an owner, and reviewed when its assumptions or operating conditions materially change.
Study Guide references/topics: Architecture Decision Records; decision context; alternatives; consequences; auditability; onboarding; lifecycle review.
NEW QUESTION # 38
You are identifying signals that a deployment should re-enter design rather than continue iterating in place.
Which signal most directly indicates the need for a new design cycle?
Answer: C
Explanation:
A new design cycle is warranted when the required change crosses an architectural boundary. Option D explicitly states that the existing architecture cannot satisfy the new requirements without redistributing component responsibilities or altering core contracts. Such changes may affect service ownership, orchestration, data flows, integration interfaces, security boundaries, failure handling, evaluation strategy, and operational accountability. They therefore require renewed discovery, impact analysis, design review, stakeholder approval, and regression planning.
Options A, B, and C are localized maintenance activities. Clarifying a runbook improves operational documentation but does not change the deployed system's structure. Adjusting an alert threshold is a controlled operational tuning activity, provided the change remains within established monitoring policy.
Editing customer-facing copy is similarly confined to the presentation or content layer. None of these changes inherently invalidates component contracts or architectural assumptions.
An architect should distinguish between iteration within an approved design and evidence that the design itself no longer supports the required outcome. Re-entering design for every minor adjustment creates unnecessary governance overhead; continuing local iteration after architectural assumptions have failed creates unmanaged technical and operational risk. Option D is the only signal that establishes a structural incompatibility.
Study Guide references/topics: Lifecycle feedback loops; design re-entry criteria; architectural significance; component responsibilities; interface contracts; controlled operational iteration.
NEW QUESTION # 39
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