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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developer Productivity & Operational Enablement | 7% | - Debugging and operational issue resolution - Developer enablement - Claude tooling configuration for teams - AI-assisted developer workflows |
| Topic 2: Integration | 19% | - Authentication and authorization analysis - Enterprise system integration - Claude integration mechanisms
|
| Topic 3: Stakeholder Communication & Lifecycle Management | 14% | - Service-level agreements - Stakeholder management - Architecture documentation - Solution lifecycle management - Communicating architectural decisions - Discovery and requirements gathering |
| Topic 4: Evaluation, Testing & Optimization | 16% | - Production monitoring and optimization - System issue diagnosis - Evaluation metrics and datasets - A/B testing - Evaluation framework design - Cost and performance optimization |
| Topic 5: Governance, Safety & Risk Management | 14% | - Security and risk management - Ethical AI considerations - Regulatory and compliance requirements - Human-in-the-loop validation - AI safety and guardrails |
| Topic 6: Solution Design & Architecture | 17% | - Translating business problems into Claude-based AI solutions - Decomposition techniques for complex problem solving - Alignment with business value, cost, performance, and SLAs - End-to-end architecture design - Architectural patterns
|
| Topic 7: Claude Models, Prompting & Context Engineering | 13% | - Prompt reuse and context engineering strategies - System prompts and prompt templates - Context window optimization - Guardrails - Claude model selection and trade-offs |
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NEW QUESTION # 112
You are listing characteristics of robust guardrail design for an enterprise deployment.
Which two characteristics belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: B,D
Explanation:
Robust guardrails require both preventive enforcement and continuous empirical validation. Per-role tool allow-lists satisfy the preventive requirement by restricting each authenticated role to explicitly authorized tools. Enforcement must occur in the orchestration or permission layer before execution; relying on the model to decide whether a tool call is authorized is not an adequate security boundary. Anthropic recommends allow- list-based validation and provides permission rules and pre-tool-use controls capable of denying calls before they execute.
Adversarial evaluation with regression tracking supplies the validation component. The evaluation set should include prompt injections, indirect injections, encoded instructions, multi-turn escalation, role-confusion attempts, and requests designed to trigger unauthorized tool use. Guardrail performance must then be measured across releases so that changes to prompts, models, tools, or orchestration logic do not silently reduce protection.
Centralized logging and user feedback are useful detective and lifecycle controls, but neither prevents an unsafe action nor proves guardrail effectiveness. Periodically refreshing refusal wording is also insufficient unless the revised behavior is evaluated against defined safety criteria. The strongest design therefore combines deterministic authorization with adversarial regression testing.
Study Guide references/topics: Claude Code permissions and pre-tool enforcement ; tool allow-list guidance ; adversarial evaluations; regression testing; least-privilege orchestration.
NEW QUESTION # 113
You are reviewing a peer's end-to-end design for a Claude-based platform expected to scale to thousands of concurrent users.
For each statement, indicate Yes if it reflects sound architectural practice. Otherwise, select No.
Answer:
Explanation:
Explanation:
* Authentication and authorization run before retrieval so retrieval can filter by identity - Yes
* An asynchronous queue absorbs bursty traffic between intake and the model-invocation layer - Yes
* Tax computation is encoded directly in the system prompt rather than in code - No
* Conversation logs include unredacted government identifiers to maximize tuning signal - No Authentication and authorization must precede retrieval so unauthorized information never enters model context. An asynchronous queue is appropriate for burst absorption, backpressure, controlled concurrency, and retry management at scale. Deterministic tax computation should be implemented in validated code or a controlled calculation tool, not delegated to probabilistic prompt interpretation. Including unredacted government identifiers in conversation logs violates data-minimization principles and creates unnecessary privacy, security, and regulatory exposure. Sensitive fields should be removed, tokenized, or redacted before logging or model use unless specifically required and authorized. The resulting design separates deterministic computation, access control, scalable orchestration, and language reasoning into appropriate architectural layers.
NEW QUESTION # 114
You are running a discovery engagement for a new Claude-based capability and must complete the requirements-gathering steps before validating with stakeholders.
Which two steps must be completed BEFORE validating the captured requirements with stakeholders? (Select two.) Each correct answer presents part of the solution.
Answer: B,E
Explanation:
Requirements must first establish what the capability is expected to accomplish, who will use it, and which constraints bound the solution. Option B captures the business purpose, success criteria, and intended user population. Option E identifies critical non-functional requirements that will influence model selection, integration patterns, deployment boundaries, evaluation design, and operational controls. These inputs must exist before stakeholders can validate whether the captured requirements accurately represent their needs.
Architecture decision records are produced after meaningful alternatives and design decisions exist. Detailed traceability is important but follows the initial elicitation and consolidation process. Rollout scheduling occurs later, after requirements and architecture have been validated. Anthropic likewise recommends defining measurable success criteria and empirical evaluation methods before optimizing prompts or finalizing the implementation. Anthropic: Prompt engineering overview
NEW QUESTION # 115
You are a platform architect designing an internal Claude-based assistant that serves both finance analysts and external auditors. Each population must access only documents permitted by its role.
Where should role-based access control be enforced in the pipeline?
Answer: D
Explanation:
Authorization must be enforced before restricted information enters model context. The retrieval service should authenticate the user, resolve role and document permissions, and filter candidate records before prompt construction. This prevents unauthorized content from appearing in prompts, model traces, cached context, tool results, or generated responses. A system-prompt instruction is behavioral guidance, not an enforceable access-control boundary. Post-generation filtering is also inadequate because the model has already received and processed the restricted data, creating exposure through output, logging, or indirect inference. Relying on general refusal behavior provides no deterministic authorization. The correct architecture treats RBAC as an application and data-layer control, with the model receiving only information the requesting principal is entitled to access.
Study Guide references/topics: Retrieval-layer RBAC; authorization before inference; least privilege; sensitive-context isolation.
NEW QUESTION # 116
You are reviewing an integration specification for security gaps.
Which two findings constitute valid security gaps in the specification? (Select two.) Each correct answer presents a complete solution.
Answer: C,E
Explanation:
Credentials must never be supplied as prompt content. Prompts can be retained in traces, debugging output, caches, or logs, and model output may inadvertently expose included secrets. Credentials should instead be resolved server-side through an approved secret store or delegated authentication mechanism. Option C is also a serious gap because post-response RBAC occurs after unauthorized data has already entered model context.
Authorization must be enforced before retrieval and prompt construction. Options A, D, and E describe appropriate controls: least-privilege service identities, per-user scoped OAuth, and encrypted transport.
Anthropic's prompt-leak guidance recommends excluding unnecessary sensitive information, while Claude Code security relies on permission-based enforcement rather than natural-language instructions alone. Reduce prompt leak
NEW QUESTION # 117
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