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Anthropic CCAR-P Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integration19%- Integrate Claude with enterprise systems, APIs, and tools
- Design authentication, authorization, and observability
- Integrate with data pipelines and RAG systems
- Implement Model Context Protocol (MCP) integrations
Topic 2: Solution Design & Architecture17%- Select architectural patterns: workflow, agentic, augmented LLM
- Translate business problems into Claude-based AI solutions
- Align solutions to business value pillars
- Design end-to-end architectures and feedback loops
- Design multi-agent systems and orchestration strategies
Topic 3: Evaluation, Testing & Optimization16%- Define evaluation metrics and success criteria
- Optimize performance, prompting, and model selection
- Implement iterative improvement pipelines
- Test accuracy, reliability, latency, and cost
Topic 4: Developer Productivity & Operational Enablement7%- Improve developer workflows with AI-assisted tooling
- Configure Claude tools and environments for teams
- Support debugging, monitoring, and operational resolution
Topic 5: Stakeholder Communication & Lifecycle Management14%- Conduct structured discovery and requirement gathering
- Manage stakeholder feedback and expectation alignment
- Communicate architectural decisions and trade-offs
- Document architectures and support full lifecycle phases
Topic 6: Claude Models, Prompting & Context Engineering13%- Mitigate prompt injection, leaks, and jailbreak risks
- Design system prompts, templates, and guardrails
- Apply context engineering and context management techniques
- Select appropriate Claude models based on trade-offs
Topic 7: Governance, Safety & Risk Management14%- Manage data privacy and security compliance
- Implement guardrails and safety controls
- Address ethical AI considerations and bias mitigation
- Ensure regulatory compliance (GDPR, HIPAA, etc.)

Anthropic Claude Certified Architect - Professional Sample Questions:

1. An operations engineer reports that a Claude-based pipeline began returning malformed JSON responses after a scheduled maintenance window, causing downstream processing failures.
Which two investigative steps most directly isolate the root cause? (Select two.)

A) Switch to a different Claude model tier to rule out provider-side changes as a contributing factor.
B) Increase the max_tokens limit to determine whether output truncation is causing incomplete JSON structures.
C) Clear the prompt cache and resubmit all pending requests to eliminate stale cached prefixes.
D) Replay a set of premaintenance requests against the current configuration and inspect the raw model output before downstream parsing.
E) Compare the current system prompt and output schema configuration against the last known good version from before the maintenance window.


2. You are evaluating model-selection claims used by a peer team.
For each statement, select yes if the statement is generally true. Otherwise, select no.


3. You are integrating AI-assisted tooling into the team's documentation workflow. The team wants generated documentation that stays grounded in the actual code.
Which integration approach best fits this requirement?

A) Have the subagents publish generated documentation directly to the public-facing site without passing through the team's normal review workflow or any human approval step.
B) Configure subagents that read the relevant code files via filesystem and code-search tools, generate the documentation, and emit changes through the team's normal review workflow.
C) Disable all filesystem and code-search tools so the subagents cannot read any repository code, accepting that documentation generation will be entirely disconnected from the actual implementation.
D) Generate documentation from the model's training-data recall without reading any of the actual repository code, accepting that the output will not reflect the current implementation.


4. A Claude architect is implementing safety controls for a customer-facing advice assistant that must never provide regulated investment recommendations.
Which two guardrail implementations most directly enforce this constraint? (Select two.)

A) Increase response temperature to introduce variability that reduces the likelihood of specific recommendations.
B) Add an output classifier that detects and blocks responses containing regulated investment- recommendation language.
C) Define explicit out-of-scope categories in the system prompt with fixed refusal phrasing for investment advice requests.
D) Log all user queries to a SIEM for post-hoc compliance review.
E) Limit session length to reduce the volume of queries processed per user per day.


5. You are building an evaluation pipeline for a Claude-based deployment and must complete the specification steps before running the deployment against the dataset.
Which two steps must be completed BEFORE running the deployment against the evaluation dataset? (Select two.) Each correct answer presents part of the solution.

A) Publish the aggregated metrics to a dashboard and gate releases on threshold checks.
B) Review failure cases with subject matter experts to refine the scoring rubric.
C) Curate and label the evaluation dataset to match the defined slices.
D) Define the metrics and slices the framework will report across representative, edge, and adversarial cases.
E) Score the deployment outputs against the reference labels and aggregate the metrics.


Solutions:

Question # 1
Answer: D,E
Question # 2
Answer: Only visible for members
Question # 3
Answer: B
Question # 4
Answer: B,C
Question # 5
Answer: C,D

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