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| Section | Weight | Objectives |
|---|---|---|
| Governance, Safety & Risk Management | 14% | - Ethical AI considerations - Security and risk management - Human-in-the-loop validation - AI safety and guardrails - Regulatory and compliance requirements |
| Evaluation, Testing & Optimization | 16% | - System issue diagnosis - Cost and performance optimization - Evaluation metrics and datasets - A/B testing - Evaluation framework design - Production monitoring and optimization |
| Developer Productivity & Operational Enablement | 7% | - Claude tooling configuration for teams - Developer enablement - AI-assisted developer workflows - Debugging and operational issue resolution |
| Claude Models, Prompting & Context Engineering | 13% | - Prompt reuse and context engineering strategies - Claude model selection and trade-offs - System prompts and prompt templates - Context window optimization - Guardrails |
| Stakeholder Communication & Lifecycle Management | 14% | - Architecture documentation - Communicating architectural decisions - Service-level agreements - Solution lifecycle management - Stakeholder management - Discovery and requirements gathering |
| Solution Design & Architecture | 17% | - Alignment with business value, cost, performance, and SLAs - Translating business problems into Claude-based AI solutions - Multi-agent systems and orchestration - Decomposition techniques for complex problem solving - Architectural patterns
|
| Integration | 19% | - Claude integration mechanisms
- RAG pipeline design
|
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NEW QUESTION # 109
You are integrating AI-assisted tooling into the team's documentation workflow. The team wants generated documentation that stays grounded in the actual code.
Which integration approach best fits this requirement?
Answer: C
Explanation:
Documentation remains grounded only when the generating agent can inspect the authoritative implementation. A purpose-built subagent should receive scoped filesystem and code-search capabilities, identify the relevant modules, interfaces, configuration files, tests, and call sites, and generate documentation from that evidence. This approach minimizes reliance on training-data recall, which cannot represent the repository's current private code or recent changes.
Subagents are useful because repository exploration occurs in their own context, allowing them to return focused findings or proposed edits without filling the main conversation with every file read. Their tool access should follow least privilege: read access to required paths, narrowly controlled write access, and explicit exclusions for secrets or unrelated repositories.
Generated documentation should enter the team's established change-control process as a patch, branch, or pull request. Normal review, automated checks, link validation, example execution, and human approval provide accountability and prevent unverified material from being published. Direct publication bypasses these safeguards, while disabling repository tools makes factual grounding impossible.
Study Guide references/topics: [Claude Code custom subagents](https://docs.anthropic.com/en/docs/claude- code/sub-agents); [codebase exploration workflows] (https://docs.anthropic.com/en/docs/claude-code
/common-workflows); source-grounded generation; least-privilege tools; human review and lifecycle controls.
NEW QUESTION # 110
The compliance team has authored a regulatory disclosure procedure that must be applied identically across customer service, sales, and onboarding workflows. The procedure changes when regulators issue updates, currently four to six times per year. You are designing how the procedure will be packaged for use by Claude across all three workflows.
Which two design decisions should you include? (Select two.)
Each correct answer presents part of the solution.
Answer: C,D
Explanation:
The procedure should have one authoritative implementation and one accountable owner. Packaging it as a compliance-owned Skill allows the instructions, examples, templates, and prohibited patterns to be maintained together. Referencing that same Skill from all three workflows ensures that updates propagate consistently without requiring separate prompt changes. Embedding copies in multiple system prompts or allowing workflow teams to rewrite the procedure creates configuration drift and inconsistent regulatory behavior. A retrieval corpus is appropriate for searchable reference material, but the requirement concerns a fixed operational procedure that Claude must follow, making a Skill the stronger abstraction. The Skill should be versioned, reviewed, tested, and released through a controlled publication process. Claude Code Skills
NEW QUESTION # 111
When communicating an architectural decision to a security and compliance reviewer, which content set is most aligned with that audience's primary concerns?
Answer: A
Explanation:
Security and compliance reviewers must determine whether material threats have been identified, whether required controls address those threats, how remaining exposure will be accepted, and whether the decision can be demonstrated during an audit. Option C supplies exactly that evidence.
The threat model establishes protected assets, trust boundaries, adversaries, attack paths, and likely failure modes. Control mappings connect technical and procedural safeguards to organizational policies, regulatory requirements, and assurance frameworks. Residual-risk acceptance criteria define which risks may remain after mitigation, who has authority to accept them, and when further treatment is mandatory. Audit traceability connects requirements and decisions to implementation evidence, evaluations, approvals, logs, and operational monitoring.
Option A is designed primarily for product management. Option B addresses engineering planning and execution. Option D is appropriate for an executive sponsor who requires business justification and a concise risk summary but normally does not perform detailed control verification.
Audience adaptation should not alter the architectural decision itself. It changes the depth, terminology, evidence, and ordering used to communicate the decision. Security and compliance reviewers require verifiable control evidence rather than only schedule, implementation, or business-level summaries.
Study Guide references/topics: Audience-specific communication; threat modeling; compliance control mapping; residual-risk acceptance; audit evidence; architectural decision traceability.
NEW QUESTION # 112
You are reviewing a peer's draft architecture decision record (ADR). The ADR states the decision and the technical detail but does not state the alternatives considered or the trade-offs accepted.
Which response is most appropriate?
Answer: B
Explanation:
An ADR must preserve not only the selected decision but also the context, alternatives evaluated, and trade- offs consciously accepted. Without this information, future engineers cannot determine whether the decision remains valid after requirements, Claude models, costs, security controls, or integration capabilities change.
Option B completes the record while retaining the valid technical detail already documented. Option A destroys useful evidence and replaces durable documentation with unreliable organizational memory. Option C produces an incomplete record that cannot support audits, onboarding, or later architectural review. Option D changes the decision without evidence or a decision-making process. For Claude solutions, ADRs should typically capture the chosen model and integration pattern, rejected alternatives, evaluation evidence, security implications, operational consequences, and conditions that would trigger reconsideration.
NEW QUESTION # 113
A loan pre-qualification assistant shows 94 percent approval recommendations that match the human underwriter decision. The fairness team has reviewed approval rate parity across protected groups and reported no significant difference. A board member has asked whether this evidence is sufficient to declare the assistant fair.
Which two Discernment-competency findings should you report? (Select two.) Each correct answer presents part of the solution.
Answer: B,D
Explanation:
Approval-rate parity measures whether groups receive positive recommendations at similar rates. It does not establish whether false approvals, false denials, sensitivity, specificity, or calibration are comparable across those groups. A system can therefore satisfy aggregate approval parity while imposing materially different error burdens on protected populations. The evaluation must include subgroup confusion matrices, false- positive and false-negative rates, calibration, intersectional analysis, and confidence intervals.
The 94 percent agreement rate measures fidelity to human underwriter decisions, not fairness. Human decisions are not automatically unbiased ground truth. If historical underwriting practices contain structural, procedural, or measurement bias, a model that reproduces those decisions accurately can reproduce the same bias. The reference labels must therefore be independently assessed for legitimacy, consistency, and potential discriminatory effects.
Nothing in the scenario establishes that protected groups were omitted, so D is unsupported. Similarly, sample size may require examination, but the scenario provides no statistical information proving that sample size is the principal deficiency. The evidence already contains two identifiable conceptual gaps regardless of sample size.
Study Guide references/topics: [Defining multidimensional evaluation criteria](https://docs.anthropic.com/en
/docs/build-with-claude/develop-tests); fairness measurement; subgroup error analysis; label and benchmark bias; human-baseline limitations; governance evidence.
NEW QUESTION # 114
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