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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Design & Architecture | 17% | - Translate business problems into Claude-based AI solutions - Select architectural patterns: workflow, agentic, augmented LLM - Design multi-agent systems and orchestration strategies - Design end-to-end architectures and feedback loops - Align solutions to business value pillars |
| Topic 2: Integration | 19% | - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability - Implement Model Context Protocol (MCP) integrations - Integrate with data pipelines and RAG systems |
| Topic 3: Evaluation, Testing & Optimization | 16% | - Optimize performance, prompting, and model selection - Implement iterative improvement pipelines - Test accuracy, reliability, latency, and cost - Define evaluation metrics and success criteria |
| Topic 4: Governance, Safety & Risk Management | 14% | - Implement guardrails and safety controls - Address ethical AI considerations and bias mitigation - Manage data privacy and security compliance - Ensure regulatory compliance (GDPR, HIPAA, etc.) |
| Topic 5: Stakeholder Communication & Lifecycle Management | 14% | - Manage stakeholder feedback and expectation alignment - Conduct structured discovery and requirement gathering - Communicate architectural decisions and trade-offs - Document architectures and support full lifecycle phases |
| Topic 6: 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 7: Claude Models, Prompting & Context Engineering | 13% | - Mitigate prompt injection, leaks, and jailbreak risks - Design system prompts, templates, and guardrails - Apply context engineering and context management techniques - Select appropriate Claude models based on trade-offs |
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NEW QUESTION # 50
You are running a discovery session with a business sponsor who asks for "an AI system to fix our customer escalations." Which approach best yields actionable requirements?
Answer: A
Explanation:
The sponsor's statement expresses a desired outcome but does not define an implementable requirement.
Option B converts the vague request into concrete information about users, workflow triggers, expected resolutions, decision boundaries, and non-functional constraints. These findings can then be translated into measurable success criteria, evaluation cases, integration requirements, and escalation rules. Anthropic's evaluation guidance states that an LLM application should begin with specific, measurable, achievable, and relevant success criteria. Option A prematurely treats an aspiration as a complete specification. Option C incorrectly transfers discovery responsibility entirely to the sponsor, while Option D imports assumptions from an unrelated context. Effective Claude architecture requires traceability from the business problem through requirements, evaluation measures, design decisions, and production acceptance criteria. Anthropic:
Define success criteria and build evaluations
NEW QUESTION # 51
You are defining escalation criteria for ambiguous cases in an automated workflow.
Which set of criteria best supports consistent escalation?
Answer: A
Explanation:
Option D defines observable and repeatable escalation triggers. Confidence thresholds identify cases where the system lacks sufficient certainty. High-impact categories ensure that legally, financially, medically, or operationally consequential decisions receive human attention regardless of nominal confidence. Classifier- generated ambiguity flags add an independent control, while an explicit user request preserves the individual' s ability to obtain review. These triggers should be documented, tested, logged, and mapped to reviewer authority and response-time objectives. Options A and C make escalation discretionary and inconsistent.
Option B is purely reactive because the potentially harmful automated action has already occurred. A sound workflow escalates before consequential execution and records the reason, evidence, reviewer, decision, and outcome.
Study Guide references/topics: Human-in-the-loop governance; escalation thresholds; ambiguity detection; consequential decisions; review auditability.
NEW QUESTION # 52
An engineer inadvertently commits an API key to the repository by placing it in .claude/settings.json.
Which configuration design principle was violated?
Answer: C
Explanation:
A shared project settings file is intended to be committed so that team-level configuration can travel with the repository. Consequently, it must never contain API keys, access tokens, passwords, or comparable secrets.
Credentials should be injected at runtime through an approved secret-management mechanism, environment- specific credential provider, or delegated authentication flow. This separates distributable configuration from sensitive authentication material and supports rotation, revocation, auditing, and least privilege. Options A and B concern configuration precedence rather than secret handling. Option D is incorrect because MCP server definitions may legitimately be stored in project configuration; only their sensitive credential values must remain outside version control. Because the key was exposed, the operational response should also include immediate revocation or rotation and investigation of repository history. Claude Code: Settings files and precedence
NEW QUESTION # 53
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 # 54
You are integrating Claude Code into a workflow that runs against a production database.
Which guardrail design most directly preserves safety on data-modifying operations?
Answer: A
Explanation:
Option D applies three complementary controls. First, a read-only database credential creates an authorization boundary outside the model; prompt instructions alone cannot convert that credential into write access.
Second, restricting the subagent's tool list reduces capability exposure by preventing the agent from selecting unrelated or unnecessarily privileged operations. Third, explicit human confirmation creates a deliberate approval gate before any exceptional data-changing action is executed.
This is defense in depth. If Claude misinterprets a request or processes malicious instructions from untrusted content, the restricted credential and tool configuration limit the available action surface. Human review then protects operations with potentially irreversible production consequences. Logging and audit trails should remain enabled to record the actor, request, tool call, approval, affected records, and outcome.
Anthropic documents that Claude Code begins with read-only permissions in Manual mode and requests approval for actions that modify the environment. Its permission system also supports granular allow, ask, and deny controls for MCP tools and subagents. Claude Code Security , Configure Permissions Options A and B eliminate least privilege and approval boundaries. Option C removes essential detection and forensic evidence.
Study Guide references/topics: Production database safety; least privilege; read-only defaults; MCP permissions; subagent scoping; human confirmation; auditability.
NEW QUESTION # 55
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