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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Design & Architecture | 17% | - Translate business problems into Claude-based AI solutions - Design multi-agent systems and orchestration strategies - Align solutions to business value pillars - Design end-to-end architectures and feedback loops - Select architectural patterns: workflow, agentic, augmented LLM |
| Topic 2: Evaluation, Testing & Optimization | 16% | - Optimize performance, prompting, and model selection - Test accuracy, reliability, latency, and cost - Define evaluation metrics and success criteria - Implement iterative improvement pipelines |
| Topic 3: Integration | 19% | - Implement Model Context Protocol (MCP) integrations - Integrate with data pipelines and RAG systems - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability |
| Topic 4: 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 5: Claude Models, Prompting & Context Engineering | 13% | - Apply context engineering and context management techniques - Select appropriate Claude models based on trade-offs - Mitigate prompt injection, leaks, and jailbreak risks - Design system prompts, templates, and guardrails |
| Topic 6: Governance, Safety & Risk Management | 14% | - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Implement guardrails and safety controls - Manage data privacy and security compliance - Address ethical AI considerations and bias mitigation |
| Topic 7: Stakeholder Communication & Lifecycle Management | 14% | - Communicate architectural decisions and trade-offs - Manage stakeholder feedback and expectation alignment - Document architectures and support full lifecycle phases - Conduct structured discovery and requirement gathering |
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NEW QUESTION # 105
You are explaining the precedence of Claude Code configuration scopes to the team.
Which precedence ordering, from highest to lowest, is correct?
Answer: C
Explanation:
The correct general precedence is managed configuration, command-line arguments, local configuration, project configuration, and then user configuration.
Managed configuration has the highest authority because it contains centrally administered organizational and compliance controls that ordinary engineers must not be able to override. Command-line arguments provide temporary session-level overrides where the relevant setting permits them. Local settings apply to one user within a specific repository and take precedence over the shared project configuration. Project settings apply to every contributor using that repository and override general user preferences. User settings form the lowest tier because they provide personal defaults across projects and apply only when no higher-precedence source supplies a value.
Anthropic documents this order explicitly: managed, command line, local, project, and user. It also notes that permission rules may merge rather than behave as simple scalar overrides, and certain security-sensitive keys have specialized precedence behavior. Claude Code Configuration Scopes The ordering allows personal customization without permitting it to defeat repository conventions or centrally mandated security requirements. Architects must still examine the merge behavior of the individual configuration property rather than assuming every array or permission rule is replaced wholesale.
Study Guide references/topics: Claude Code configuration; scope precedence; managed policies; local overrides; project settings; user defaults.
NEW QUESTION # 106
An architect at Trenova Systems, Inc. is reviewing two draft communication packages for the same architectural decision. Package 1 contains a threat model, residual-risk register, and control-mapping table.
Package 2 contains a list of capabilities delivered and feature-level roadmap dependencies.
Which two audiences are correctly matched to these packages? (Select two.)
Answer: C,E
Explanation:
Package 1 is designed for security and compliance review because its threat model identifies relevant threats and attack paths, its residual-risk register documents the risks remaining after controls, and its control- mapping table connects safeguards to organizational or regulatory requirements. Package 2 is designed for the product manager because delivered capabilities and roadmap dependencies directly support prioritization, release planning, sequencing, and lifecycle ownership. An engineering implementation team would ordinarily need component diagrams, interface contracts, configuration schemas, deployment instructions, and operational runbooks rather than primarily risk-governance artifacts. An executive sponsor generally needs a concise outcome, cost, risk, and decision summary instead of feature-level dependency details. Effective architecture communication must therefore adapt the content and level of detail to each audience's responsibilities and decision rights.
NEW QUESTION # 107
You are supporting an engineer whose Claude Code session reports a permission denial when the engineer expected the action to be allowed.
Which resolution step is most appropriate?
Answer: A
Explanation:
Claude Code permission decisions can be affected by multiple configuration scopes. The appropriate diagnostic action is to inspect the effective rules and identify the exact deny pattern. Managed policy has the highest precedence, and a deny rule from any applicable scope cannot be overridden by an allow rule elsewhere. The architect must then determine whether the denial represents an intentional security boundary or an incorrectly scoped rule. If correction is justified, only the specific rule should be amended. Repeated retries cannot change a deterministic permission decision. Disabling permissions or granting unrestricted Bash access removes safeguards far beyond the reported problem and violates least privilege. Anthropic's permission documentation explicitly describes scope precedence and deny-first evaluation. Claude Code permissions
NEW QUESTION # 108
You are compiling factors that should drive the choice between Model Context Protocol (MCP), direct API integration, and agent-to-agent handoff.
Which two factors belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: A,D
Explanation:
The interaction model and portability requirement are architectural decision drivers. MCP is appropriate when tools or data sources must be exposed through a standardized interface reusable across compatible AI clients.
Direct API integration is often preferable for a narrow, stateless, latency-sensitive call where the application already owns the integration logic. Agent-to-agent handoff is better suited to stateful or longer-running delegation between independently responsible agents. Documentation quality and team familiarity influence implementation effort but do not determine the correct integration pattern. Encryption in transit is a mandatory security property for production integration rather than a differentiating architectural requirement; each viable approach must provide it. Anthropic distinguishes direct Messages access from stateful managed- agent infrastructure, while MCP supplies a standardized tool integration layer. Claude Platform documentation
NEW QUESTION # 109
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: A
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 # 110
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