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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developer Productivity & Operational Enablement | 7% | - Configure Claude tools and environments for teams - Improve developer workflows with AI-assisted tooling - Support debugging, monitoring, and operational resolution |
| Topic 2: Stakeholder Communication & Lifecycle Management | 14% | - Document architectures and support full lifecycle phases - Manage stakeholder feedback and expectation alignment - Communicate architectural decisions and trade-offs - Conduct structured discovery and requirement gathering |
| Topic 3: Claude Models, Prompting & Context Engineering | 13% | - Design system prompts, templates, and guardrails - Select appropriate Claude models based on trade-offs - Apply context engineering and context management techniques - Mitigate prompt injection, leaks, and jailbreak risks |
| Topic 4: Evaluation, Testing & Optimization | 16% | - Test accuracy, reliability, latency, and cost - Optimize performance, prompting, and model selection - Implement iterative improvement pipelines - Define evaluation metrics and success criteria |
| Topic 5: Solution Design & Architecture | 17% | - Design end-to-end architectures and feedback loops - Align solutions to business value pillars - Design multi-agent systems and orchestration strategies - Translate business problems into Claude-based AI solutions - Select architectural patterns: workflow, agentic, augmented LLM |
| Topic 6: Governance, Safety & Risk Management | 14% | - Manage data privacy and security compliance - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Implement guardrails and safety controls - Address ethical AI considerations and bias mitigation |
| Topic 7: Integration | 19% | - Integrate Claude with enterprise systems, APIs, and tools - Implement Model Context Protocol (MCP) integrations - Design authentication, authorization, and observability - Integrate with data pipelines and RAG systems |
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NEW QUESTION # 85
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: C
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 # 86
The platform team at Trenova Systems, Inc. needs to reduce per-query cost and p95 latency for a high-volume Claude pipeline without degrading output quality on the core use case.
Which two optimizations directly target both cost and latency simultaneously? (Select two.)
Answer: B,D
Explanation:
Prompt caching reduces repeated input processing when a stable system prefix is reused, directly lowering input cost and processing latency. Model routing provides the second optimization: routine cases can use a faster, lower-cost model, while difficult cases retain access to the more capable model. The routing policy must be validated against representative evaluations to confirm that quality remains within the required threshold. Increasing max_tokens can increase output cost and generation time. Retrieving the complete corpus and adding examples to every request both enlarge the input, worsening latency and token consumption. Anthropic identifies prompt caching as a cost-and-latency optimization and recommends selecting a model according to the workload's quality, speed, and economic requirements. Prompt caching ; reducing latency
NEW QUESTION # 87
You are running a risk assessment on a planned Claude-based deployment and must complete the inventory steps before assessing threats against assets.
Which two steps must be completed BEFORE assessing threats against assets to estimate likelihood and impact? (Select two.) Each correct answer presents part of the solution.
Answer: B,E
Explanation:
Threat assessment requires an inventory of what must be protected and who or what may threaten it. Asset identification should cover prompts, retrieved documents, credentials, model outputs, audit logs, tools, external systems, and sensitive business or personal data. Sensitivity classifications establish the potential confidentiality, integrity, safety, and availability impact of compromise. Threat actors and attack vectors must then be enumerated so likelihood and impact can be assessed against specific assets. Mitigation recommendations, residual-risk acceptance, ownership, and final documentation follow the analysis; they cannot be completed coherently before the threats are understood. Anthropic's security transparency materials similarly emphasize maintaining threat models that reflect relevant attacker tactics and techniques. Anthropic Transparency Hub
NEW QUESTION # 88
A Claude Architect is reviewing a post-deployment performance report for an AI-assisted legal-document summarization system. The report includes these observations:
* Average summarization time decreased from 47 minutes to 6 minutes per document.
* Associates spend less time on summaries, but overall billable output has not measurably changed.
* Infrastructure costs increased by 22% because redundant retry logic generated additional API calls.
* Some summaries require attorney correction, adding an average of 8 minutes of review per document.
Which analysis correctly attributes each observation to the appropriate business-value pillar?
Answer: D
Explanation:
Observation 1 is a direct efficiency improvement because the time required for one summarization task fell substantially. Observation 2 shows that local time savings have not yet translated into higher organizational productivity or billable output. Observation 3 is explicitly a solution-cost problem caused by unnecessary API calls. Observation 4 introduces additional human correction time and therefore partially offsets the gross efficiency gain reported in Observation 1. Option D is the only answer that keeps these value dimensions distinct. Measuring only generation speed would overstate realized value because review effort, retry costs, and downstream output must also be included. A valid post-deployment assessment should calculate net cycle time, cost per accepted summary, correction rate, and resulting business output.
NEW QUESTION # 89
You are responding to a stakeholder request that adds significant scope to a deployment already in flight.
Which response best aligns expectations while respecting the stakeholder's underlying need?
Answer: C
Explanation:
Option C preserves both transparency and stakeholder agency. The architect acknowledges the underlying business need while making the delivery consequences explicit. Presenting controlled alternatives converts an unbounded request into a governed decision: defer the capability, exchange it for existing scope, or accept a later release date. The selected option should be documented with revised success criteria, dependencies, risk, cost, ownership, and approval. Concealing the request prevents accurate planning and creates unmanaged delivery risk. Rejecting it without exploring alternatives ignores legitimate stakeholder value. Quietly absorbing additional work produces scope creep and makes later delays appear unexpected. Effective lifecycle communication does not promise every requested capability; it presents the trade-offs necessary for an informed decision.
Study Guide references/topics: Scope governance; expectation alignment; transparent trade-offs; change control; stakeholder decision rights.
NEW QUESTION # 90
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