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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Design & Architecture | 17% | - Alignment with business value, cost, performance, and SLAs - Multi-agent systems and orchestration - Architectural patterns
- Decomposition techniques for complex problem solving - End-to-end architecture design |
| Topic 2: Claude Models, Prompting & Context Engineering | 13% | - System prompts and prompt templates - Prompt reuse and context engineering strategies - Guardrails - Context window optimization - Claude model selection and trade-offs |
| Topic 3: Integration | 19% | - Authentication and authorization analysis - RAG pipeline design
|
| Topic 4: Governance, Safety & Risk Management | 14% | - Security and risk management - Human-in-the-loop validation - AI safety and guardrails - Regulatory and compliance requirements - Ethical AI considerations |
| Topic 5: Stakeholder Communication & Lifecycle Management | 14% | - Solution lifecycle management - Communicating architectural decisions - Architecture documentation - Stakeholder management - Discovery and requirements gathering - Service-level agreements |
| Topic 6: Developer Productivity & Operational Enablement | 7% | - Claude tooling configuration for teams - Developer enablement - Debugging and operational issue resolution - AI-assisted developer workflows |
| Topic 7: Evaluation, Testing & Optimization | 16% | - System issue diagnosis - A/B testing - Evaluation framework design - Production monitoring and optimization - Evaluation metrics and datasets - Cost and performance optimization |
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NEW QUESTION # 62
You are identifying signals that a deployment should re-enter design rather than continue iterating in place.
Which signal most directly indicates the need for a new design cycle?
Answer: C
Explanation:
A new design cycle is warranted when the required change crosses an architectural boundary. Option D explicitly states that the existing architecture cannot satisfy the new requirements without redistributing component responsibilities or altering core contracts. Such changes may affect service ownership, orchestration, data flows, integration interfaces, security boundaries, failure handling, evaluation strategy, and operational accountability. They therefore require renewed discovery, impact analysis, design review, stakeholder approval, and regression planning.
Options A, B, and C are localized maintenance activities. Clarifying a runbook improves operational documentation but does not change the deployed system's structure. Adjusting an alert threshold is a controlled operational tuning activity, provided the change remains within established monitoring policy.
Editing customer-facing copy is similarly confined to the presentation or content layer. None of these changes inherently invalidates component contracts or architectural assumptions.
An architect should distinguish between iteration within an approved design and evidence that the design itself no longer supports the required outcome. Re-entering design for every minor adjustment creates unnecessary governance overhead; continuing local iteration after architectural assumptions have failed creates unmanaged technical and operational risk. Option D is the only signal that establishes a structural incompatibility.
Study Guide references/topics: Lifecycle feedback loops; design re-entry criteria; architectural significance; component responsibilities; interface contracts; controlled operational iteration.
NEW QUESTION # 63
You are selecting a model for a new production workload and must complete the upstream steps before testing candidate models empirically.
Which two steps must be completed BEFORE running a representative sample on a candidate model? (Select two.) Each correct answer presents part of the solution.
Answer: C,D
NEW QUESTION # 64
The platform team at Trenova Systems, Inc. needs to reduce per-query cost and p95 latency for a high-volume Claude pipeline without degrading output quality on the core use case.
Which two optimizations directly target both cost and latency simultaneously? (Select two.)
Answer: D,E
Explanation:
Prompt caching reduces repeated input processing when a stable system prefix is reused, directly lowering input cost and processing latency. Model routing provides the second optimization: routine cases can use a faster, lower-cost model, while difficult cases retain access to the more capable model. The routing policy must be validated against representative evaluations to confirm that quality remains within the required threshold. Increasing max_tokens can increase output cost and generation time. Retrieving the complete corpus and adding examples to every request both enlarge the input, worsening latency and token consumption. Anthropic identifies prompt caching as a cost-and-latency optimization and recommends selecting a model according to the workload's quality, speed, and economic requirements. Prompt caching ; reducing latency
NEW QUESTION # 65
You are selecting the documentation set that should accompany a Claude-based deployment at handoff.
Which set is most complete?
Answer: B
Explanation:
A complete handoff package must help different stakeholders understand, operate, troubleshoot, and evolve the Claude-based solution. An architecture overview explains the system's structure and responsibilities, while Architecture Decision Records document important decisions, alternatives, and trade-offs. Component- level diagrams provide implementation context without forcing maintainers to reconstruct dependencies from source code. Operational runbooks and an on-call playbook enable reliable incident detection, diagnosis, escalation, and recovery. Documenting known limitations is particularly important for Claude applications because model behavior can vary with prompts, context, input distribution, and external dependencies.
Options B, C, and D each provide only a partial or temporary understanding of the system. They would create knowledge gaps, increase operational risk, and make future maintenance dependent on individuals rather than durable organizational documentation.
NEW QUESTION # 66
You are designing a content moderation classifier that processes high volumes of user-generated comments under a tight per-message latency budget using well-defined classification labels.
Which model selection best aligns with the workload?
Answer: D
Explanation:
Haiku is the appropriate starting point because the workload is high-volume, latency-sensitive, and based on a stable closed set of moderation labels. These characteristics favor a fast, cost-efficient model capable of consistent classification without incurring the additional inference time and expense associated with deeper reasoning.
Anthropic's model-selection guidance requires architects to balance capability, speed, and cost rather than automatically selecting the most capable model. Its content-moderation guidance specifically identifies Haiku as a cost-effective option for processing moderation workloads at substantial scale. Choosing the Right Model, Content Moderation Opus is disproportionate to a routine closed-set classification problem. Sonnet may become justified if evaluation demonstrates that Haiku fails materially on complex policy distinctions, multilingual ambiguity, or adversarial edge cases, but it should not be selected merely because it is larger. Enabling extended thinking on every request would further increase latency and token consumption without evidence that the additional reasoning improves the defined success metrics. The correct architectural practice is to establish a representative moderation evaluation set, validate Haiku against accuracy and safety thresholds, and escalate only the cases that genuinely need deeper reasoning.
Study Guide references/topics: Model selection; capability-latency-cost trade-offs; classification workloads; evaluation-driven routing; moderation architecture.
NEW QUESTION # 67
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