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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Design & Architecture | 17% | - 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 - Design end-to-end architectures and feedback loops |
| Topic 2: Stakeholder Communication & Lifecycle Management | 14% | - Document architectures and support full lifecycle phases - Conduct structured discovery and requirement gathering - Manage stakeholder feedback and expectation alignment - Communicate architectural decisions and trade-offs |
| Topic 3: Claude Models, Prompting & Context Engineering | 13% | - Mitigate prompt injection, leaks, and jailbreak risks - Select appropriate Claude models based on trade-offs - Design system prompts, templates, and guardrails - Apply context engineering and context management techniques |
| Topic 4: Governance, Safety & Risk Management | 14% | - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Manage data privacy and security compliance - Implement guardrails and safety controls - Address ethical AI considerations and bias mitigation |
| Topic 5: Developer Productivity & Operational Enablement | 7% | - Support debugging, monitoring, and operational resolution - Configure Claude tools and environments for teams - Improve developer workflows with AI-assisted tooling |
| Topic 6: 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 |
| Topic 7: Evaluation, Testing & Optimization | 16% | - Define evaluation metrics and success criteria - Test accuracy, reliability, latency, and cost - Implement iterative improvement pipelines - Optimize performance, prompting, and model selection |
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NEW QUESTION # 54
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: C,D
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 # 55
A Claude-based research assistant begins producing responses that confidently contradict its retrieved source documents despite no change to the retrieval pipeline.
Which two diagnostic actions most directly identify the root cause of this behavior? (Select two.)
Answer: A,B
Explanation:
The retrieval pipeline is stated to be unchanged, so the first investigation should isolate changes in generation behavior and grounding instructions. Replaying the failing cases on the previous model version determines whether the regression follows the model upgrade or current model-prompt combination. Inspecting the system prompt establishes whether source-use rules, uncertainty behavior, citation requirements, or prohibitions against unsupported claims were removed or weakened. Increasing context or replacing the embedding model changes a component for which no failure evidence exists and may introduce additional noise. Lowering temperature may reduce variation but does not explain systematic contradiction of retrieved evidence. The investigation should compare identical requests, retrieved passages, prompts, and model versions before applying a fix. Define success criteria and evaluations
NEW QUESTION # 56
You are identifying inefficiency in a Claude Code workflow where each engineer manually re-explains the project's conventions and architecture in every session.
Which adjustment most directly removes this inefficiency?
Answer: C
Explanation:
A project-scoped CLAUDE.md converts repeatedly supplied information into persistent, version-controlled context. Claude Code loads applicable CLAUDE.md instructions at session initialization, allowing architecture principles, coding conventions, build commands, repository structure, and verification requirements to be shared consistently across engineers. Anthropic explicitly recommends using CLAUDE.
md for information that developers would otherwise explain repeatedly; concise and specific instructions provide stronger adherence. Committing the file also enables normal review and change-control practices.
Option C reduces typing speed but preserves the underlying waste and inconsistency. Options A and D remove useful capability or governance rather than correcting the workflow. The implementation should periodically review the file for obsolete, conflicting, or unnecessarily verbose instructions.
Study Guide references/topics: Claude Code project memory ; CLAUDE.md; persistent context; repository conventions; workflow standardization.
NEW QUESTION # 57
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: D
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 # 58
You are documenting an architectural decision to support future audit and onboarding.
Which artifact is the strongest fit?
Answer: C
Explanation:
An Architecture Decision Record is designed to preserve a significant architectural choice in a concise, durable, and reviewable form. The context explains the problem, constraints, and forces that shaped the decision. The decision section records the selected approach. Alternatives demonstrate that other viable options were evaluated, while consequences identify benefits, costs, limitations, operational obligations, and residual risks. The date and authors establish accountability and historical sequence.
This structure supports audit because a reviewer can trace why a model, integration pattern, retrieval architecture, security boundary, or deployment approach was chosen. It also supports onboarding by preventing new team members from interpreting intentional design choices as arbitrary implementation details.
A slide deck may communicate a decision at a meeting but is weak as the sole authoritative record when it lacks written rationale. A code comment is too localized and may not capture system-level implications or rejected alternatives. A verbal conversation creates no durable evidence and depends entirely on individual memory.
The ADR should be version-controlled, linked to affected requirements and implementation artifacts, assigned an owner, and reviewed when its assumptions or operating conditions materially change.
Study Guide references/topics: Architecture Decision Records; decision context; alternatives; consequences; auditability; onboarding; lifecycle review.
NEW QUESTION # 59
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