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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Safety & Risk Management | 14% | - Address ethical AI considerations and bias mitigation - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Implement guardrails and safety controls - Manage data privacy and security compliance |
| 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: Solution Design & Architecture | 17% | - Design multi-agent systems and orchestration strategies - Translate business problems into Claude-based AI solutions - Select architectural patterns: workflow, agentic, augmented LLM - Align solutions to business value pillars - Design end-to-end architectures and feedback loops |
| Topic 4: Developer Productivity & Operational Enablement | 7% | - Configure Claude tools and environments for teams - Support debugging, monitoring, and operational resolution - Improve developer workflows with AI-assisted tooling |
| Topic 5: Claude Models, Prompting & Context Engineering | 13% | - Apply context engineering and context management techniques - Select appropriate Claude models based on trade-offs - Design system prompts, templates, and guardrails - Mitigate prompt injection, leaks, and jailbreak risks |
| Topic 6: Evaluation, Testing & Optimization | 16% | - Implement iterative improvement pipelines - Define evaluation metrics and success criteria - Optimize performance, prompting, and model selection - Test accuracy, reliability, latency, and cost |
| Topic 7: Integration | 19% | - Implement Model Context Protocol (MCP) integrations - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability - Integrate with data pipelines and RAG systems |
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NEW QUESTION # 40
You are investigating an MCP server that fails on first launch but succeeds on subsequent runs. System permission dialogs appeared during the first launch.
Which response is most appropriate?
Answer: D
Explanation:
The observed sequence provides direct causal evidence: the initial connection was interrupted while the operating system awaited authorization, and later attempts succeeded after permission was granted. The correct response is to verify repeatability, document the first-run requirement, and incorporate it into installation or onboarding instructions. Reinstalling the operating system is disproportionate and destroys useful diagnostic state. Disabling permission dialogs weakens endpoint security and bypasses the control rather than addressing expected behavior. Replacing a server that operates correctly after authorization misclassifies a transient initialization condition as a permanent defect. Claude Code uses explicit permission controls to balance capability and safety, so first-use approval behavior should be accommodated rather than suppressed. Claude Code permissions
NEW QUESTION # 41
A Claude architect observes that after a recent model-version upgrade, grounded responses began including claims not supported by the retrieved source documents.
Which mitigation is most directly targeted at this failure mode?
Answer: B
Explanation:
The observed failure is a groundedness defect: the response contains claims that cannot be traced to retrieved evidence. Option A directly constrains generation to the supplied sources, requires visible attribution, and verifies that each material claim has supporting text. Unsupported claims should be removed, qualified, or replaced with an explicit statement that the available sources are insufficient. Regression evaluation in Option B may detect the failure but does not itself prevent unsupported claims. OAuth addresses identity and authorization, while input classifiers address malicious or unsafe retrieved content; neither verifies factual support. Anthropic recommends citations, supporting quotations, and post-generation claim verification to reduce hallucinations in document-grounded applications. Reducing hallucinations
NEW QUESTION # 42
A Claude architect is leading the discovery phase for a new AI-powered customer service solution.
Which two activities are characteristic of structured discovery and requirement gathering for a Claude-based deployment? (Select two.)
Answer: A,E
Explanation:
Structured discovery begins by eliciting constraints from the people who own the business outcome, operate the process, manage risk, and will use or support the deployed system. Stakeholder workshops in Option A identify measurable expectations concerning accuracy, latency, throughput, cost, privacy, compliance, escalation, and acceptable failure behavior before the solution is scoped.
Option D converts those expectations into production gates. Success criteria must be explicit enough to evaluate empirically, while failure thresholds must determine when the design requires remediation, human review, or rejection. Anthropic's evaluation guidance states that successful LLM applications begin with defined success criteria and evaluations that measure performance against them. It characterizes strong criteria as specific, measurable, achievable, and relevant. Define Success Criteria and Build Evaluations Option B prematurely selects a model before the workload profile is known. Option C can supplement discovery, but reaction-driven prototyping cannot replace documented requirements and acceptance criteria.
Option E postpones essential constraints until architectural commitments may already have been made.
The discovery output should create traceability from stakeholder objectives to requirements, evaluation metrics, architecture decisions, and deployment gates.
Study Guide references/topics: Structured discovery; stakeholder workshops; nonfunctional requirements; success criteria; failure thresholds; production readiness gates.
NEW QUESTION # 43
A pilot AI assistant for procurement specialists shows 89 percent first-response acceptance, but follow-up surveys reveal that specialists frequently override the assistant's vendor recommendations after considering criteria the assistant did not evaluate. The pilot owner wants to ship the assistant unchanged because of the strong acceptance rate.
Which two Discernment-competency observations should you raise BEFORE approving the launch? (Select two.)
Answer: B,D
Explanation:
The assistant is making recommendations without considering information that specialists regard as material.
That is a direct input-scope and requirements gap, not merely a presentation issue. The 89 percent acceptance metric is also incomplete because initial acceptance does not reveal whether recommendations remain correct after users apply the omitted criteria. Production readiness requires outcome-focused evaluation, including final recommendation agreement, override reasons, financial impact, supplier risk, and performance across representative procurement scenarios. Options B and E raise possible concerns, but the scenario supplies no evidence that response rate or pilot duration is the demonstrated deficiency. Option A incorrectly treats a single proxy metric as sufficient. Anthropic recommends multidimensional, task-specific success criteria aligned with the actual user outcome. Define success criteria and evaluations
NEW QUESTION # 44
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 # 45
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