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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Claude Models, Prompting & Context Engineering | 13% | - Prompt reuse and context engineering strategies - Claude model selection and trade-offs - System prompts and prompt templates - Guardrails - Context window optimization |
| Topic 2: Stakeholder Communication & Lifecycle Management | 14% | - Communicating architectural decisions - Service-level agreements - Solution lifecycle management - Stakeholder management - Discovery and requirements gathering - Architecture documentation |
| Topic 3: Governance, Safety & Risk Management | 14% | - AI safety and guardrails - Regulatory and compliance requirements - Security and risk management - Human-in-the-loop validation - Ethical AI considerations |
| Topic 4: Developer Productivity & Operational Enablement | 7% | - Claude tooling configuration for teams - Developer enablement - Debugging and operational issue resolution - AI-assisted developer workflows |
| Topic 5: Solution Design & Architecture | 17% | - Alignment with business value, cost, performance, and SLAs - Multi-agent systems and orchestration - Decomposition techniques for complex problem solving - Translating business problems into Claude-based AI solutions - End-to-end architecture design - Architectural patterns
|
| Topic 6: Evaluation, Testing & Optimization | 16% | - A/B testing - System issue diagnosis - Evaluation framework design - Cost and performance optimization - Production monitoring and optimization - Evaluation metrics and datasets |
| Topic 7: Integration | 19% | - RAG pipeline design
- Claude integration mechanisms
|
Anthropic Claude Certified Architect - Professional Sample Questions:
Question 1
A loan pre-qualification assistant shows 94 percent approval recommendations that match the human underwriter decision. The fairness team has reviewed approval rate parity across protected groups and reported no significant difference. A board member has asked whether this evidence is sufficient to declare the assistant fair.
Which two Discernment-competency findings should you report? (Select two.) Each correct answer presents part of the solution.
A. A larger sample is needed before any meaningful fairness claim can be made about the model.
B. Match with human underwriters does not establish freedom from underwriter-introduced bias.
C. The 94 percent match rate is sufficient evidence of fairness for the assistant's decisions.
D. Approval rate parity does not by itself assess error rate parity across protected groups.
E. The fairness team's review process likely missed at least some of the protected groups studied.
Question 2
You are reviewing instrumentation in a multi-agent system.
Which two findings constitute valid observability gaps in the instrumentation? (Select two.) Each correct answer presents a complete solution.
A. Trace spans for each agent step are exported to the shared distributed-tracing backend.
B. Model identity and version on each turn are not recorded with the turn artifacts.
C. Request-scoped correlation identifiers do not propagate across agent and tool calls.
D. Latency and token usage on every span are emitted to the central metrics pipeline.
E. Tool-call payloads and outcomes are recorded with redaction applied to known sensitive fields.
Question 3
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?
A. A runbook step requires a clarification edit to improve on-call guidance accuracy, which can be handled as a documentation update without changes to component responsibilities or core contracts.
B. The system's current architecture cannot meet the new requirements without changes to component responsibilities or core contracts.
C. A dashboard alert threshold needs a small numerical adjustment to reduce false-positive noise, which can be handled as an operational configuration change without a new design cycle.
D. A minor copy edit is requested in a customer-facing string within the existing UI, which can be handled as a localized content change without altering component responsibilities or contracts.
Question 4
You are defining escalation criteria for ambiguous cases in an automated workflow.
Which set of criteria best supports consistent escalation?
A. No escalation criteria; the model decides independently on every turn whether to escalate, without explicit confidence thresholds, impact categories, or classifier-based ambiguity flags.
B. Escalation only after an affected customer has contacted support to complain, after the automated workflow has already completed without human review.
C. 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.
D. 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.
Question 5
A research summarization assistant has been deployed for six months. A user has flagged that a generated summary contained a fabricated citation. The product team has asked whether the incident requires architectural action or whether it is an isolated case.
Which two Diligence-competency actions should you take? (Select two.)
Each correct answer presents part of the solution.
A. Treat the incident as an anecdotal isolated case and take no further investigative action.
B. Sample recent summaries to estimate the fabrication frequency across the population.
C. Communicate to users that the assistant does not fabricate output as a matter of design.
D. Review whether citation-grounding controls exist anywhere in the current generation pipeline.
E. Disable the assistant immediately for all current users without any prior diagnostic analysis.
Solutions:
| Question 1 Answer: B,D | Question 2 Answer: B,C | Question 3 Answer: B | Question 4 Answer: D | Question 5 Answer: B,D |
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