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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Safety & Risk Management | 14% | - Security and risk management - AI safety and guardrails - Ethical AI considerations - Human-in-the-loop validation - Regulatory and compliance requirements |
| Topic 2: Developer Productivity & Operational Enablement | 7% | - AI-assisted developer workflows - Claude tooling configuration for teams - Developer enablement - Debugging and operational issue resolution |
| Topic 3: Evaluation, Testing & Optimization | 16% | - Evaluation framework design - Production monitoring and optimization - Cost and performance optimization - Evaluation metrics and datasets - System issue diagnosis - A/B testing |
| Topic 4: Claude Models, Prompting & Context Engineering | 13% | - System prompts and prompt templates - Guardrails - Context window optimization - Prompt reuse and context engineering strategies - Claude model selection and trade-offs |
| Topic 5: Stakeholder Communication & Lifecycle Management | 14% | - Discovery and requirements gathering - Stakeholder management - Solution lifecycle management - Communicating architectural decisions - Architecture documentation - Service-level agreements |
| Topic 6: Integration | 19% | - RAG pipeline design
- Authentication and authorization analysis |
| Topic 7: Solution Design & Architecture | 17% | - Architectural patterns
- Decomposition techniques for complex problem solving - Multi-agent systems and orchestration - Translating business problems into Claude-based AI solutions - Alignment with business value, cost, performance, and SLAs |
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NEW QUESTION # 52
You are defining when to introduce a project subagent versus relying on Claude Code's general capabilities.
Which scenario most directly justifies a dedicated subagent?
Answer: B
Explanation:
A dedicated subagent is justified when specialization is recurring and operationally valuable. Option A allows the team to encode a database-review role once, including its system prompt, triggering description, permitted tools, model, and review criteria. This improves consistency across sessions, isolates specialized context, and applies least privilege by withholding unrelated capabilities. Anthropic's custom subagent documentation supports task-specific prompts, model selection, tool allowlists, permission modes, hooks, skills, and persistent memory. A one-time question does not justify the maintenance overhead of a reusable agent definition, while Options C and D explicitly provide no specialization requirement. The subagent should also have clear invocation conditions, evaluation cases, ownership, and lifecycle review.
Study Guide references/topics: Claude Code subagents; task specialization; context isolation; model routing; scoped permissions; reusable automation.
NEW QUESTION # 53
You are evaluating retrieval-strategy claims used by a peer team.
For each claim, select yes if the statement is generally accurate. Otherwise, select no.
Answer:
Explanation:
Explanation:
Yes, Yes, Yes, No, No
Dense vector retrieval represents semantic similarity, making it suitable for matching paraphrases and conceptually related language even when the query and source do not share identical words. Sparse lexical retrieval, including BM25-style matching, retains strong sensitivity to exact tokens and is therefore valuable for identifiers, product codes, technical names, and uncommon terminology.
Structured query retrieval is appropriate when the required operation depends on explicit fields, predicates, joins, counts, grouping, or aggregation over a relational schema. In that situation, generating or invoking a constrained database query is more precise than approximating the operation through semantic similarity.
Hybrid retrieval is not identical to dense retrieval. It combines semantic and lexical candidate sets, typically followed by rank fusion or reranking. Anthropic's contextual-retrieval guidance explains that semantic search captures meaning and paraphrases, while BM25 captures exact terminology; combining them improves coverage. Contextual Retrieval , Contextual Retrieval Cookbook Random sampling is not a relevance strategy. It provides no systematic relationship between the query and selected evidence, producing unstable coverage and preventable hallucination risk. Production Q & A requires deterministic or evaluated relevance mechanisms, access filters, suitable indexes, and measurable retrieval metrics such as recall at k .
Study Guide references/topics: Dense retrieval; sparse retrieval; structured queries; hybrid search; rank fusion; retrieval evaluation; production RAG design.
NEW QUESTION # 54
You are preparing a HIPAA-eligible deployment for a healthcare customer.
Which configuration supports HIPAA compliance using Anthropic-offered tools?
Answer: C
Explanation:
Option B is the only configuration establishing the contractual, data-handling, and audit foundations needed for a HIPAA-eligible deployment. Anthropic requires an eligible commercial organization to activate the HIPAA-ready configuration and accept a Business Associate Agreement. A standard Enterprise subscription is not automatically covered merely because it is an enterprise product. Anthropic BAA Guidance Zero Data Retention may be required for particular covered services, including eligible Claude Code configurations, and is enabled per organization for qualified accounts. Audit logging supports access review, configuration monitoring, incident investigation, and compliance evidence. Anthropic provides audit logs for Enterprise organizations. Claude Code Legal and Compliance , Access Audit Logs Options A and D use consumer or personal accounts without the required contractual framework. Option C incorrectly treats the elimination of audit evidence as a substitute for a BAA and compliant configuration.
The signed BAA remains the authoritative source for covered products and features. The customer must also configure access control, minimum-necessary data use, workforce policies, retention, integrations, incident response, and vendor-risk controls. The configuration supports compliance; it does not independently guarantee it.
Study Guide references/topics: HIPAA readiness; BAA; ZDR; PHI handling; audit logging; eligible services; shared compliance responsibility.
NEW QUESTION # 55
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,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 # 56
Engineering leadership wants to roll out Claude Skills to 280 developers across 14 teams. Skills will encode internal coding standards, code-review checklists, and incident-postmortem templates. Leadership has asked how to govern Skill authorship so that Skills remain trustworthy without bottlenecking on a single central team.
Which governance model should you recommend?
Answer: A
Explanation:
Federated authorship allows each domain team to maintain the procedural knowledge it understands while preserving organization-wide trust through a central publication gate. Team authors can update coding standards, review practices, and postmortem procedures without waiting for a single platform group to write every change. Central reviewers can validate ownership, security, tool permissions, duplication, versioning, testing evidence, and compliance before publication. Per-developer or fully decentralized publication creates inconsistent and potentially unsafe Skills. Fully centralized authorship becomes a scalability bottleneck and separates content maintenance from domain expertise. Anthropic describes Skills as packages of instructions, scripts, and resources and warns that repository Skills may grant broad tool access, making formal review essential. Claude Code Skills
NEW QUESTION # 57
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