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| Section | Objectives |
|---|---|
| Topic 1: Evaluation and Optimization | - Model and architecture optimization - Evaluation design and acceptance criteria |
| Topic 2: Stakeholder Engagement and Solution Lifecycle | - Stakeholder discovery and architectural trade-off communication - Solution lifecycle, handoff, adoption, and operational enablement |
| Topic 3: Governance, Safety, and Risk | - Security, compliance, risk management, and governance - Safety controls and fail-closed system design |
| Topic 4: Solution Design | - Claude platform and solution architecture - Model, architecture, context, and deployment strategy selection |
| Topic 5: Enterprise Integration and Production | - Cost, latency, reliability, and operational design - Enterprise integration architecture and production readiness |
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NEW QUESTION # 14
You are building a feedback-and-alignment routine for a multi-stakeholder deployment.
Which two practices belong in the routine? (Select two.)
Each correct answer presents a complete solution.
Answer: A,B
Explanation:
Alignment is an ongoing governance process rather than a one-time approval. Option D creates a predictable cadence for reassessing objectives, constraints, assumptions, risks, service levels, and success measures as business and technical conditions change. Option E requires disagreements to be surfaced and reconciled explicitly, preserving decision traceability and preventing unresolved conflicts from reappearing during implementation or operation. The routine should document decisions, owners, accepted trade-offs, action items, and conditions that trigger reconsideration. Recording meetings may improve accessibility but does not itself produce alignment. Rotating facilitation is optional and may weaken accountability. Automatically escalating every disagreement to an executive sponsor bypasses normal architectural negotiation and should be reserved for material deadlocks.
Study Guide references/topics: Stakeholder alignment; feedback cadence; assumption management; conflict reconciliation; decision records; lifecycle governance.
NEW QUESTION # 15
A senior architect is preparing briefing materials on a new retrieval architecture. The executive sponsor has requested a summary of the architectural decision. Which framing is most appropriate for that audience?
Answer: C
Explanation:
Executive sponsors generally need architecture decisions translated into business significance. The briefing should explain what outcomes the retrieval architecture enables, why the chosen approach is valuable, which material trade-offs were accepted, and what major risks require awareness or sponsorship. This allows the executive to assess strategic alignment, investment value, and organizational exposure without becoming immersed in component-level implementation details. Option A is more appropriate for architects and engineering teams conducting a technical review. Option C is primarily suited to product and program stakeholders managing features, scope, and roadmap dependencies. Option D is designed for security, compliance, and risk-governance audiences requiring detailed control evidence. Although those perspectives remain important, option B provides the concise, outcome-oriented framing needed for an executive architectural decision summary.
NEW QUESTION # 16
You are reviewing a peer's draft architecture decision record (ADR). The ADR states the decision and the technical detail but does not state the alternatives considered or the trade-offs accepted.
Which response is most appropriate?
Answer: D
Explanation:
An ADR must preserve not only the selected decision but also the context, alternatives evaluated, and trade- offs consciously accepted. Without this information, future engineers cannot determine whether the decision remains valid after requirements, Claude models, costs, security controls, or integration capabilities change.
Option B completes the record while retaining the valid technical detail already documented. Option A destroys useful evidence and replaces durable documentation with unreliable organizational memory. Option C produces an incomplete record that cannot support audits, onboarding, or later architectural review. Option D changes the decision without evidence or a decision-making process. For Claude solutions, ADRs should typically capture the chosen model and integration pattern, rejected alternatives, evaluation evidence, security implications, operational consequences, and conditions that would trigger reconsideration.
NEW QUESTION # 17
You are diagnosing a Claude Code session whose subagent uses 50,000 tokens of context before the engineer types a single message.
Which root cause is most likely?
Answer: A
Explanation:
Claude Code constructs the model context before the first user message. That initial context can include the system prompt, project instructions, subagent configuration, MCP server instructions, and tool definitions expressed as JSON schemas. When numerous MCP servers expose many tools and Tool Search is disabled, those schemas must be loaded upfront. A large collection of verbose tool descriptions and parameter schemas can therefore consume tens of thousands of tokens before the engineer enters any text.
Tool Search is specifically designed to prevent this form of context inflation. With Tool Search enabled, Claude initially receives only server instructions and compact tool-identification information; full tool schemas are deferred until a relevant tool is discovered and required. Anthropic consequently describes Tool Search as the mechanism for keeping MCP context consumption low as integrations scale.
Keyboard layouts, font rendering, and display scaling operate outside the language-model context and cannot generate API input tokens. Likewise, model behavior does not silently reserve 50,000 tokens for personal preferences. The diagnostic action is to inspect configured MCP servers and tool counts, determine whether Tool Search has been disabled, and remove or defer unnecessary definitions.
Study Guide references/topics: [MCP Tool Search and context scaling](https://docs.anthropic.com/en/docs
/claude-code/mcp); MCP server configuration; subagent context budgeting; tool-schema optimization.
NEW QUESTION # 18
You are selecting a pattern for a compliance Q & A assistant that must answer policy questions with citations to the authoritative internal source set. Latency, cost, and audit predictability are prioritized.
Which pattern is the best fit?
Answer: C
Explanation:
A constrained retrieval-augmented generation architecture best satisfies the grounding, citation, latency, cost, and audit requirements. The system first indexes the approved internal policy corpus. At request time, it retrieves a small set of relevant passages, supplies those passages to Claude with stable source identifiers, and requires the answer to cite the supporting material. Anthropic's search-result content blocks are specifically designed for this pattern: they allow custom RAG systems to provide source-attributed internal content and enable Claude to render citations against those results.
The retrieval boundary is critical. Only approved and version-controlled policy sources should be searchable, with document identifiers, effective dates, access controls, retrieval scores, and cited passages retained for audit reconstruction. This produces substantially more predictable evidence than unconstrained web research.
A planner-researcher-writer system introduces unnecessary model calls, orchestration complexity, cost, latency, and behavioral variance for routine policy lookup. Open-web browsing violates the authoritative- source requirement and increases prompt-injection and provenance risk. Concatenating the complete corpus into every prompt wastes tokens, increases latency, and can reduce retrieval precision as the corpus expands.
Study Guide references/topics: Search-result blocks for cited RAG ; Claude citations ; authoritative-corpus retrieval; source attribution; auditable context engineering.
NEW QUESTION # 19
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