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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Stakeholder Engagement and Solution Lifecycle | - Stakeholder discovery and architectural trade-off communication - Solution lifecycle, handoff, adoption, and operational enablement |
| Topic 2: Governance, Safety, and Risk | - Security, compliance, risk management, and governance - Safety controls and fail-closed system design |
| Topic 3: Enterprise Integration and Production | - Enterprise integration architecture and production readiness - Cost, latency, reliability, and operational design |
| Topic 4: Evaluation and Optimization | - Evaluation design and acceptance criteria - Model and architecture optimization |
| Topic 5: Solution Design | - Model, architecture, context, and deployment strategy selection - Claude platform and solution architecture |
Anthropic Claude Certified Architect - Professional Sample Questions:
You are defining escalation criteria for ambiguous cases in an automated workflow.
Which set of criteria best supports consistent escalation?
- A. A confidence score below a defined threshold, presence of high-impact decision categories, ambiguity flags raised by content classifiers, and the user's explicit request for review.
- B. Escalation at the discretion of whoever is available when the team's on-call engineer has spare capacity, without a defined threshold, category, or ambiguity criterion.
- C. Escalation only after an affected customer has contacted support to complain, after the automated workflow has already completed without human review.
- D. No escalation criteria; the model decides independently on every turn whether to escalate, without explicit confidence thresholds, impact categories, or classifier-based ambiguity flags.
Correct Answer: A 🗳️
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A team manager wants all engineers working on the same repository to share identical MCP server definitions without manual synchronization.
Which configuration approach satisfies this requirement?
- A. project-scope .claude/settings.json and .mcp.json files committed to the repository
- B. managed configuration pushed to all endpoints by the administrator
- C. environment variables set at the operating-system level on each workstation
- D. each engineer maintains a personal ~/.claude/settings.json with the shared definitions
Correct Answer: A 🗳️
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A platform team operates a self-hosted multi-agent system on Kubernetes that orchestrates seven specialized agents for invoice processing. The team spends approximately 40 percent of engineering capacity on infrastructure maintenance, message bus reliability, and agent state recovery. The CFO has asked you to evaluate moving to managed agent infrastructure to reclaim engineering capacity. The security officer requires that all customer financial data remain within an approved network boundary.
Which factor should most heavily influence your recommendation?
- A. Whether managed agent data handling satisfies the network boundary required by security.
- B. Whether managed agents support the current bus topology used by the platform team.
- C. Whether managed agents reduce per-invoice token costs across the existing processing volume.
- D. Whether the current seven agents map cleanly to the patterns supported by managed agents.
Correct Answer: A 🗳️
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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.
- A. Distribution to a standing review forum with mandatory attendance from senior engineering leaders.
- B. Ownership and review cadence for revisiting the decision when conditions or assumptions change.
- C. Alternatives considered along with the criteria that were used to evaluate each alternative.
- D. Omission of rejected alternatives to keep the decision document focused and concise for readers.
- E. Use of a consistent template across the team to standardize the visual presentation of decisions.
Correct Answer: B,C 🗳️
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You are classifying token-management tactics by where each tactic applies in the request lifecycle: "Input Preparation," "Prompt Construction," or "Output Handling."
Correct Answer:
Explanation:
Persist the validated output for downstream consumption and audit - Output Handling Order prompt sections so cacheable content appears before per-request content - Prompt Construction Summarize prior conversation history when full history is no longer needed - Input Preparation Validate the model's structured output against the expected schema - Output Handling Move stable repeated content into a cacheable prefix at the beginning of the prompt - Prompt Construction Trim retrieved passages to spans relevant to the user's question - Input Preparation Input preparation determines what evidence and history should enter the request, so summarization and retrieval trimming belong there. Prompt construction determines ordering and cache boundaries; stable repeated instructions must precede dynamic per-request content to maximize cache reuse. Output handling begins after generation and includes schema validation, persistence, auditing, and downstream delivery.
Mixing these responsibilities creates inefficient prompts and weak validation boundaries. Anthropic's context guidance emphasizes curating the smallest useful context because unnecessary tokens can reduce recall and accuracy. Prompt caching similarly depends on a stable reusable prefix, while structured outputs or schema validation protect downstream systems from malformed responses. Context windows; prompt caching
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