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Instant Download Anthropic : CCAR-P Questions & Answers as PDF & Test Engine
- Exam Code: CCAR-P
- Exam Name: Claude Certified Architect - Professional
- Updated: Aug 23, 2026
- No. of Questions: 116 Questions and Answers
- Download Limit: Unlimited
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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developer Productivity & Operational Enablement | 7% | - Configure Claude tools and environments for teams - Support debugging, monitoring, and operational resolution - Improve developer workflows with AI-assisted tooling |
| Topic 2: Evaluation, Testing & Optimization | 16% | - Test accuracy, reliability, latency, and cost - Optimize performance, prompting, and model selection - Implement iterative improvement pipelines - Define evaluation metrics and success criteria |
| Topic 3: Claude Models, Prompting & Context Engineering | 13% | - Mitigate prompt injection, leaks, and jailbreak risks - Apply context engineering and context management techniques - Select appropriate Claude models based on trade-offs - Design system prompts, templates, and guardrails |
| Topic 4: Integration | 19% | - Integrate with data pipelines and RAG systems - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability - Implement Model Context Protocol (MCP) integrations |
| Topic 5: Governance, Safety & Risk Management | 14% | - Manage data privacy and security compliance - Address ethical AI considerations and bias mitigation - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Implement guardrails and safety controls |
| Topic 6: Solution Design & Architecture | 17% | - Translate business problems into Claude-based AI solutions - Design end-to-end architectures and feedback loops - Align solutions to business value pillars - Design multi-agent systems and orchestration strategies - Select architectural patterns: workflow, agentic, augmented LLM |
| Topic 7: Stakeholder Communication & Lifecycle Management | 14% | - Communicate architectural decisions and trade-offs - Conduct structured discovery and requirement gathering - Document architectures and support full lifecycle phases - Manage stakeholder feedback and expectation alignment |
Anthropic Claude Certified Architect - Professional Sample Questions:
1. A customer support team has proposed delegating customer refund decisions to a Claude-driven workflow with no human review for refunds under 50 USD. The team's reasoning is that small refunds are low-risk and human review would erase the efficiency gain.
Which Delegation-competency principle should guide your response?
A) Delegation should always include human review on every decision the workflow produces.
B) Delegation scope should be set primarily by maximizing efficiency gains across the workflow.
C) Delegation scope should reflect the type of risk involved, not the transaction size alone.
D) Delegation should be avoided entirely wherever financial transactions occur in the workflow.
2. 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.
A) Set a regular cadence for revisiting expectations and assumptions as conditions evolve over time.
B) Reconcile divergent stakeholder positions explicitly rather than papering over them in the moment.
C) Escalate any disagreement among stakeholders to the executive sponsor for binding resolution.
D) Rotate facilitation among the participating stakeholder groups to share ownership of the routine.
E) Record each session and distribute the recording to stakeholders who could not attend live.
3. An architect is reviewing a Claude-based candidate-screening tool prior to deployment. A stakeholder asserts that because the model was not trained on company data, no bias evaluation is necessary.
Which two responses most accurately challenge this assertion? (Select two.)
A) Bias evaluation is unnecessary when the model provider has published a responsible-use policy.
B) The model may carry demographic biases from pretraining that manifest in screening outcomes regardless of fine-tuning.
C) Fairness testing is required only when the training dataset is known to contain protected-class labels.
D) The system should be evaluated on outcome-disparity metrics across protected groups before deployment.
E) Transparency obligations are satisfied by disclosing that an AI system is in use, without further evaluation.
4. You are evaluating prompting claims in a peer's design document.
For each claim, select yes if the claim reflects sound practice. Otherwise, select no.
5. A Claude architect is leading the discovery phase for a new AI-powered customer service solution.
Which two activities are characteristic of structured discovery and requirement gathering for a Claude-based deployment? (Select two.)
A) Generating an initial prototype and iterating based on user reaction rather than written requirements.
B) Documenting explicit success criteria and failure thresholds that will gate production deployment.
C) Deferring constraint documentation until the integration design phase to avoid scope creep.
D) Selecting the Claude model tier based on the architect's prior project experience before stakeholder input is collected.
E) Facilitating stakeholder workshops to surface latency, accuracy, and compliance constraints before scoping begins.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,B | Question # 3 Answer: B,D | Question # 4 Answer: Only visible for members | Question # 5 Answer: B,E |
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