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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Stakeholder Communication & Lifecycle Management | 14% | - Manage stakeholder feedback and expectation alignment - Document architectures and support full lifecycle phases - Communicate architectural decisions and trade-offs - Conduct structured discovery and requirement gathering |
| Topic 2: Developer Productivity & Operational Enablement | 7% | - Support debugging, monitoring, and operational resolution - Improve developer workflows with AI-assisted tooling - Configure Claude tools and environments for teams |
| Topic 3: 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 - Select architectural patterns: workflow, agentic, augmented LLM - Translate business problems into Claude-based AI solutions |
| Topic 4: 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 5: Governance, Safety & Risk Management | 14% | - Manage data privacy and security compliance - Address ethical AI considerations and bias mitigation - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Implement guardrails and safety controls |
| Topic 6: Evaluation, Testing & Optimization | 16% | - Optimize performance, prompting, and model selection - Test accuracy, reliability, latency, and cost - Implement iterative improvement pipelines - Define evaluation metrics and success criteria |
| Topic 7: Integration | 19% | - Integrate with data pipelines and RAG systems - Implement Model Context Protocol (MCP) integrations - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability |
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NEW QUESTION # 52
You are building an ethics-review checklist for deployments supported by artificial intelligence.
Which two checks belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: A,D
Explanation:
An ethics review must examine unsupported generalizations, stereotyping, disparate treatment, and other conclusions about people that are not justified by the evidence. It must also preserve identifiable human accountability for consequential decisions; responsibility cannot be transferred to a probabilistic system.
Licensing is a legal and commercial-control question, while latency and throughput are operational requirements. Both remain important, but neither is the central ethical test presented here. Restricting review to low-confidence or threshold-triggering outputs is also inadequate because models can express harmful or biased conclusions with high confidence. Ethical review should cover representative populations, protected and intersectional groups, high-impact outcomes, override mechanisms, transparency, and channels for challenge or appeal.
Study Guide references/topics: Bias and unsupported generalization; human accountability; consequential decisions; ethical oversight.
NEW QUESTION # 53
You are reviewing instrumentation in a multi-agent system.
Which two findings constitute valid observability gaps in the instrumentation? (Select two.) Each correct answer presents a complete solution.
Answer: B,E
Explanation:
Model identity and version are essential diagnostic dimensions. Without them, operators cannot correlate a behavioral change with a model migration, reproduce the conditions of a failed turn, compare performance among model versions, or distinguish model drift from prompt, retrieval, and application defects. Therefore, the omission described in Option D is a genuine observability gap.
Option E is equally significant. A multi-agent execution normally crosses orchestration, model, agent, MCP, and tool boundaries. If the request-scoped correlation identifier or distributed trace context is lost at any boundary, the resulting spans cannot reliably be reconstructed into one end-to-end transaction. Anthropic's monitoring guidance explains that distributed tracing links a user prompt to the API requests and tool executions it initiates; it also documents propagation of W3C trace context to supported subprocesses and outbound MCP requests. Claude Code Monitoring Options A and B describe healthy telemetry coverage rather than gaps. Option C is also appropriate because recording tool interactions supports investigation, while redaction reduces the risk of exposing sensitive data in logs.
Study Guide references/topics: Integration-observability challenges at scale; distributed tracing; correlation identifiers; model-version attribution; privacy-aware tool telemetry.
NEW QUESTION # 54
A security team is evaluating two proposed controls. Control A adds an outbound tool allow-list with destination restrictions and per-call review. Control B scores responses against a stable adversarial evaluation set after each model-version change.
Which two risk categories are correctly matched to these controls? (Select two.)
Answer: C,E
Explanation:
Control A directly constrains the outbound action surface. An allow-list limits which tools and destinations may receive data, while per-call review introduces an approval boundary before information leaves the controlled environment. These measures therefore address data exfiltration through outbound tool calls, making Option C correct. Anthropic's security guidance recommends least privilege, narrowly scoped permissions, sandboxing, and limiting access to sensitive information and actions so that a compromised agent can cause minimal damage. Mitigate Jailbreaks and Prompt Injections Control B addresses model-version drift. Running a stable adversarial evaluation set after each version change creates a consistent comparison baseline and detects regressions that might otherwise remain invisible during routine testing. This correctly maps Control B to silent quality drift, making Option E correct. Anthropic's migration guidance repeatedly calls for workload reevaluation because instruction following, style, reasoning, and agent behavior can differ between versions. Model Migration Guide Control A may limit the consequences of successful prompt injection, but it does not prevent or directly detect adversarial instructions in retrieved content. Control B measures behavioral performance but does not impose outbound authorization controls. Each control must therefore be mapped to the risk it most directly mitigates.
Study Guide references/topics: Tool governance; least privilege; exfiltration controls; adversarial evaluations; model-change regression testing; defense in depth.
NEW QUESTION # 55
You are producing an architecture guide for a new deployment and must complete the planning steps before drafting each section.
Which two steps must be completed BEFORE drafting each section of the guide? (Select two.) Each correct answer presents part of the solution.
Answer: C,E
Explanation:
Effective documentation begins with audience analysis and structural planning. Identifying the audience determines the required technical depth, terminology, decision context, and operational emphasis. Defining the questions the guide must answer prevents sections from becoming generic descriptions. The outline then establishes complete coverage across architecture overview, component responsibilities, interface contracts, dominant flows, operational runbooks, and known limitations. Translation occurs only after stable source content exists. Implementation-team validation also follows an initial draft because there must be material to review. Version control, reviewers, and cadence are important governance controls, but they do not replace the two content-planning activities required before section drafting. The guide should be planned around the decisions and tasks its intended readers must perform.
NEW QUESTION # 56
You are integrating human review into a high-volume classification pipeline where reviewing every output is infeasible.
Which sampling strategy best balances throughput with quality oversight?
Answer: B
Explanation:
Risk-stratified sampling concentrates limited reviewer capacity where error consequences and uncertainty are greatest. All low-confidence and high-impact cases should receive mandatory review, while random sampling of routine high-confidence outputs provides an unbiased signal for drift, unexpected failure modes, and overconfident errors. Complaint-only monitoring discovers defects after harm occurs. Reviewing only high- confidence cases systematically ignores the most dangerous outputs. Universal review provides maximum coverage but contradicts the stated throughput constraint and may create queues that undermine service objectives. The sampling policy should define confidence calibration, impact categories, escalation thresholds, review SLAs, and periodic adjustment based on observed error rates. Reviewer decisions should feed the evaluation dataset so monitoring quality improves over time.
NEW QUESTION # 57
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