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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Claude Models, Prompting & Context Engineering | 13% | - System prompts and prompt templates - Prompt reuse and context engineering strategies - Claude model selection and trade-offs - Context window optimization - Guardrails |
| Topic 2: Governance, Safety & Risk Management | 14% | - Regulatory and compliance requirements - Human-in-the-loop validation - Security and risk management - Ethical AI considerations - AI safety and guardrails |
| Topic 3: Developer Productivity & Operational Enablement | 7% | - AI-assisted developer workflows - Debugging and operational issue resolution - Developer enablement - Claude tooling configuration for teams |
| Topic 4: Evaluation, Testing & Optimization | 16% | - System issue diagnosis - Cost and performance optimization - Evaluation framework design - A/B testing - Production monitoring and optimization - Evaluation metrics and datasets |
| Topic 5: Integration | 19% | - RAG pipeline design
- Claude integration mechanisms
|
| Topic 6: Stakeholder Communication & Lifecycle Management | 14% | - Architecture documentation - Stakeholder management - Service-level agreements - Solution lifecycle management - Discovery and requirements gathering - Communicating architectural decisions |
| Topic 7: Solution Design & Architecture | 17% | - Multi-agent systems and orchestration - Translating business problems into Claude-based AI solutions - Alignment with business value, cost, performance, and SLAs - End-to-end architecture design - Architectural patterns
|
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NEW QUESTION # 49
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: D
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 # 50
During an architectural review, the security team identifies a risk that adversarial content injected into retrieved documents could manipulate the model's behavior.
Which mitigation most directly addresses this threat?
Answer: B
Explanation:
The scenario describes indirect prompt injection: malicious instructions are embedded in third-party content that Claude processes as retrieved evidence. Option A addresses the threat at the appropriate boundary by classifying retrieved material as untrusted, screening it before use, and validating the model's output before it can influence downstream actions.
Anthropic recommends placing untrusted third-party content in clearly identified tool-result structures, explicitly instructing Claude that retrieved content cannot override system or user instructions, screening tool output for injection attempts, and applying output validation. Mitigate Jailbreaks and Prompt Injections Citations in Option B improve factual traceability but do not prevent embedded instructions from attempting to redirect model behavior. An outbound destination allow-list in Option C limits the damage that a compromised agent can cause through tool calls, but it does not directly detect or neutralize the injected content. Option D is valuable for detecting behavioral regression after a model change, not for controlling a specific malicious document during runtime.
A production implementation should combine content provenance, structural separation, injection screening, least-privilege tools, output-schema validation, and human confirmation for consequential actions.
Study Guide references/topics: Indirect prompt injection; untrusted retrieved content; input classification; output validation; layered runtime guardrails.
NEW QUESTION # 51
When communicating an architectural decision to a security and compliance reviewer, which content set is most aligned with that audience's primary concerns?
Answer: C
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 # 52
You are reviewing a peer's draft system prompt that contains contradictory instructions: one section says never to speculate beyond the supplied source, while another says to confidently fill in any gaps.
Which response is most appropriate?
Answer: B
Explanation:
The prompt contains mutually incompatible behavioral requirements. The architect should resolve the contradiction explicitly so the model receives one coherent grounding policy. If the application requires source-supported answers, the prompt should prohibit unsupported completion, permit an insufficient- evidence response, and require citations or supporting passages. Adding another priority instruction leaves the underlying conflict in place and creates ambiguity about when speculation is permitted. Increasing temperature makes behavior more variable rather than more correct. Retaining both instructions produces inconsistent outputs across requests and model versions. Anthropic recommends clear, direct, specific prompting and notes that conflicting project instructions can cause Claude to select among them unpredictably. Prompting best practices ; project-instruction troubleshooting
NEW QUESTION # 53
A senior architect is preparing briefing materials on a new retrieval architecture. The executive sponsor has requested a summary of the architectural decision. Which framing is most appropriate for that audience?
Answer: B
Explanation:
Executive sponsors generally need architecture decisions translated into business significance. The briefing should explain what outcomes the retrieval architecture enables, why the chosen approach is valuable, which material trade-offs were accepted, and what major risks require awareness or sponsorship. This allows the executive to assess strategic alignment, investment value, and organizational exposure without becoming immersed in component-level implementation details. Option A is more appropriate for architects and engineering teams conducting a technical review. Option C is primarily suited to product and program stakeholders managing features, scope, and roadmap dependencies. Option D is designed for security, compliance, and risk-governance audiences requiring detailed control evidence. Although those perspectives remain important, option B provides the concise, outcome-oriented framing needed for an executive architectural decision summary.
NEW QUESTION # 54
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