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| Section | Objectives |
|---|---|
| Topic 1: Enterprise Integration and Production | - Enterprise integration architecture and production readiness - Cost, latency, reliability, and operational design |
| Topic 2: Evaluation and Optimization | - Evaluation design and acceptance criteria - Model and architecture optimization |
| Topic 3: Stakeholder Engagement and Solution Lifecycle | - Solution lifecycle, handoff, adoption, and operational enablement - Stakeholder discovery and architectural trade-off communication |
| Topic 4: Solution Design | - Claude platform and solution architecture - Model, architecture, context, and deployment strategy selection |
| Topic 5: Governance, Safety, and Risk | - Safety controls and fail-closed system design - Security, compliance, risk management, and governance |
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NEW QUESTION # 35
You are listing characteristics of strong architectural-decision communication.
Which two characteristics belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: A,C
Explanation:
Strong decision communication must explain both how the decision was reached and how it will remain governed. Option D provides the reasoning structure: the alternatives considered and the criteria used to compare them. This allows reviewers to verify that capability, cost, latency, security, maintainability, integration complexity, and business outcomes were evaluated consistently rather than selectively.
Option A establishes lifecycle accountability. Architectural decisions depend on assumptions about requirements, models, data, regulations, usage volume, and operational constraints. Naming an owner and review cadence ensures the decision is reconsidered when those assumptions materially change.
Option B imposes a meeting mechanism rather than describing decision quality. Mandatory attendance by senior leaders may add delay without improving the clarity or correctness of the record. Option C removes important evidence and increases the chance that rejected approaches will be proposed again without addressing the original objections. Option E can improve consistency and discoverability, but visual standardization alone does not establish substantive architectural communication.
A strong decision record should therefore be evidence-based, audience-accessible, traceable to requirements, explicit about alternatives and consequences, assigned to an accountable owner, and governed by defined review triggers.
Study Guide references/topics: Architectural-decision communication; alternatives analysis; evaluation criteria; decision ownership; review cadence; changing assumptions; lifecycle governance.
NEW QUESTION # 36
You are integrating Claude Code into the team's pull-request workflow. The team wants AI-assisted review without removing human approval.
Which integration design best fits this requirement?
Answer: A
Explanation:
Option A augments the existing review process without transferring final accountability to the model. Claude Code can inspect the change in repository context, identify logic defects, security weaknesses, regressions, and maintainability concerns, and publish structured findings for human evaluation. Existing branch protection then preserves required approvals and separation of duties. Automatic merging or disabling protection rules would convert an advisory capability into an uncontrolled authorization mechanism. Silent deletion would eliminate transparency and prevent authors from challenging or correcting the assessment.
Anthropic's Code Review documentation states that findings are posted as comments and do not approve or block the pull request, leaving the established review workflow intact. Claude Code Review
NEW QUESTION # 37
A revenue projection assistant has missed its monthly cost target by 38 percent. Profiling shows three contributors: a 6,000-token policy preamble repeated on every call (45 percent of cost), retrieval of historical sales chunks averaging 3,000 tokens per call (30 percent), and inference on a flagship-tier model (25 percent).
Stakeholders require that projection accuracy remain unchanged.
Which two optimizations should you sequence first to reduce cost without affecting accuracy? (Select two.) Each correct answer presents part of the solution.
Answer: B,C
Explanation:
The required sequence must reduce repeated computation without changing the information or model capability used to generate projections. Prompt caching the static 6,000-token policy preamble directly addresses the largest cost contributor while preserving the complete instruction set. Anthropic states that cache reads cost substantially less than uncached input tokens, making repeated, stable prompt prefixes an ideal caching target. Prompt Caching Caching frequently reused historical-sales chunks applies the same principle to the retrieval layer. When identical, version-controlled chunks are repeatedly fetched and supplied to the model, caching their retrieval or reusable representation eliminates redundant work while maintaining the same evidence available to the projection process. The cache must use appropriate invalidation or source-version keys so updated sales data cannot be replaced by stale content.
Options A and B modify the information supplied to Claude. Fewer sales chunks could remove relevant historical evidence, while truncating policy instructions could alter constraints or projection behavior. Option D introduces a model-capability change and therefore cannot guarantee unchanged accuracy without a comparative evaluation. Those interventions may be considered later, but only after representative regression testing establishes equivalence.
Study Guide references/topics: Cost profiling; prompt caching; retrieval caching; cache invalidation; accuracy- preserving optimization; model and context trade-offs.
NEW QUESTION # 38
You are supporting an engineer whose Claude Code session reports a permission denial when the engineer expected the action to be allowed.
Which resolution step is most appropriate?
Answer: C
Explanation:
Claude Code permission decisions can be affected by multiple configuration scopes. The appropriate diagnostic action is to inspect the effective rules and identify the exact deny pattern. Managed policy has the highest precedence, and a deny rule from any applicable scope cannot be overridden by an allow rule elsewhere. The architect must then determine whether the denial represents an intentional security boundary or an incorrectly scoped rule. If correction is justified, only the specific rule should be amended. Repeated retries cannot change a deterministic permission decision. Disabling permissions or granting unrestricted Bash access removes safeguards far beyond the reported problem and violates least privilege. Anthropic's permission documentation explicitly describes scope precedence and deny-first evaluation. Claude Code permissions
NEW QUESTION # 39
You are reviewing a peer's end-to-end design for a Claude-based platform expected to scale to thousands of concurrent users.
For each statement, indicate Yes if it reflects sound architectural practice. Otherwise, select No.
Answer:
Explanation:
Explanation:
* Authentication and authorization run before retrieval so retrieval can filter by identity - Yes
* An asynchronous queue absorbs bursty traffic between intake and the model-invocation layer - Yes
* Tax computation is encoded directly in the system prompt rather than in code - No
* Conversation logs include unredacted government identifiers to maximize tuning signal - No Authentication and authorization must precede retrieval so unauthorized information never enters model context. An asynchronous queue is appropriate for burst absorption, backpressure, controlled concurrency, and retry management at scale. Deterministic tax computation should be implemented in validated code or a controlled calculation tool, not delegated to probabilistic prompt interpretation. Including unredacted government identifiers in conversation logs violates data-minimization principles and creates unnecessary privacy, security, and regulatory exposure. Sensitive fields should be removed, tokenized, or redacted before logging or model use unless specifically required and authorized. The resulting design separates deterministic computation, access control, scalable orchestration, and language reasoning into appropriate architectural layers.
NEW QUESTION # 40
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