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| Section | Objectives |
|---|---|
| Topic 1: Governance, Safety, and Risk | - Safety controls and fail-closed system design - Security, compliance, risk management, and governance |
| Topic 2: Stakeholder Engagement and Solution Lifecycle | - Solution lifecycle, handoff, adoption, and operational enablement - Stakeholder discovery and architectural trade-off communication |
| Topic 3: Enterprise Integration and Production | - Cost, latency, reliability, and operational design - Enterprise integration architecture and production readiness |
| Topic 4: Solution Design | - Claude platform and solution architecture - Model, architecture, context, and deployment strategy selection |
| Topic 5: Evaluation and Optimization | - Evaluation design and acceptance criteria - Model and architecture optimization |
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NEW QUESTION # 26
A technical team is cataloguing risks specific to Claude's use in a document-grounded Q & A system.
Which two items represent failure modes intrinsic to LLM-based systems rather than generic software defects? (Select two.)
Answer: A,E
Explanation:
Over-refusal and hallucination are characteristic model-behavior risks. An overly broad safety response can reject a legitimate request even when the surrounding application operates correctly. A plausible but unsupported answer is a groundedness failure arising from probabilistic generation and inadequate source adherence. These risks require model-specific evaluations, grounding instructions, citations, verification, and calibrated fallback behavior. Expired certificates, database timeouts, and load-balancer misconfiguration are conventional distributed-system failures that should be addressed through infrastructure monitoring, retries, health checks, and configuration management. Distinguishing these categories matters because ordinary software remediation will not resolve behavioral failures, while prompt changes will not repair infrastructure.
Anthropic's hallucination guidance recommends auditable citations and supporting evidence for generated claims. Reducing hallucinations
NEW QUESTION # 27
You are operating an interactive assistant whose dominant performance constraint is per-turn latency. Quality on routine turns is already acceptable.
Which configuration adjustment most directly improves latency without disproportionately damaging quality?
Answer: D
Explanation:
Option B targets two major contributors to per-turn latency: retrieved-context size and repeated prompt processing. Reducing retrieval to an empirically validated top- k limits the tokens Claude must process while preserving the passages that historically provide sufficient answer coverage. Caching the stable system- prompt prefix avoids repeatedly processing identical instructions.
Anthropic's latency guidance recommends choosing an appropriate model and reducing unnecessary input and output tokens. Its prompt-caching documentation explains that caching reusable prompt prefixes can reduce both repeated processing cost and latency. Reducing Latency , Prompt Caching The retrieval depth must be selected through evaluation rather than arbitrary truncation. The team should compare answer quality, retrieval recall, latency, and failure rates across candidate values and retain escalation logic for complex queries requiring deeper retrieval.
Option A removes an applicable latency optimization. Option C maximizes context consumption regardless of demonstrated benefit. Option D deliberately selects the slowest model class even though routine-turn quality already meets requirements.
Study Guide references/topics: Latency optimization; top- k retrieval; prompt caching; token reduction; quality-latency evaluation; adaptive retrieval.
NEW QUESTION # 28
An engineer inadvertently commits an API key to the repository by placing it in .claude/settings.json.
Which configuration design principle was violated?
Answer: D
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 # 29
The compliance team has authored a regulatory disclosure procedure that must be applied identically across customer service, sales, and onboarding workflows. The procedure changes when regulators issue updates, currently four to six times per year. You are designing how the procedure will be packaged for use by Claude across all three workflows.
Which two design decisions should you include? (Select two.)
Each correct answer presents part of the solution.
Answer: A,C
Explanation:
The procedure should have one authoritative implementation and one accountable owner. Packaging it as a compliance-owned Skill allows the instructions, examples, templates, and prohibited patterns to be maintained together. Referencing that same Skill from all three workflows ensures that updates propagate consistently without requiring separate prompt changes. Embedding copies in multiple system prompts or allowing workflow teams to rewrite the procedure creates configuration drift and inconsistent regulatory behavior. A retrieval corpus is appropriate for searchable reference material, but the requirement concerns a fixed operational procedure that Claude must follow, making a Skill the stronger abstraction. The Skill should be versioned, reviewed, tested, and released through a controlled publication process. Claude Code Skills
NEW QUESTION # 30
You are integrating AI-assisted tooling into the team's documentation workflow. The team wants generated documentation that stays grounded in the actual code.
Which integration approach best fits this requirement?
Answer: C
Explanation:
Documentation remains grounded only when the generating agent can inspect the authoritative implementation. A purpose-built subagent should receive scoped filesystem and code-search capabilities, identify the relevant modules, interfaces, configuration files, tests, and call sites, and generate documentation from that evidence. This approach minimizes reliance on training-data recall, which cannot represent the repository's current private code or recent changes.
Subagents are useful because repository exploration occurs in their own context, allowing them to return focused findings or proposed edits without filling the main conversation with every file read. Their tool access should follow least privilege: read access to required paths, narrowly controlled write access, and explicit exclusions for secrets or unrelated repositories.
Generated documentation should enter the team's established change-control process as a patch, branch, or pull request. Normal review, automated checks, link validation, example execution, and human approval provide accountability and prevent unverified material from being published. Direct publication bypasses these safeguards, while disabling repository tools makes factual grounding impossible.
Study Guide references/topics: [Claude Code custom subagents](https://docs.anthropic.com/en/docs/claude- code/sub-agents); [codebase exploration workflows] (https://docs.anthropic.com/en/docs/claude-code
/common-workflows); source-grounded generation; least-privilege tools; human review and lifecycle controls.
NEW QUESTION # 31
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