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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Claude Models, Prompting & Context Engineering | 13% | - Context window optimization - Claude model selection and trade-offs - Prompt reuse and context engineering strategies - System prompts and prompt templates - Guardrails |
| Solution Design & Architecture | 17% | - Translating business problems into Claude-based AI solutions - Alignment with business value, cost, performance, and SLAs - Decomposition techniques for complex problem solving - Multi-agent systems and orchestration - Architectural patterns
|
| Stakeholder Communication & Lifecycle Management | 14% | - Communicating architectural decisions - Stakeholder management - Discovery and requirements gathering - Service-level agreements - Architecture documentation - Solution lifecycle management |
| Evaluation, Testing & Optimization | 16% | - Cost and performance optimization - A/B testing - Evaluation framework design - System issue diagnosis - Production monitoring and optimization - Evaluation metrics and datasets |
| Integration | 19% | - Enterprise system integration - Claude integration mechanisms
|
| Developer Productivity & Operational Enablement | 7% | - Debugging and operational issue resolution - Claude tooling configuration for teams - Developer enablement - AI-assisted developer workflows |
| Governance, Safety & Risk Management | 14% | - Security and risk management - Ethical AI considerations - AI safety and guardrails - Human-in-the-loop validation - Regulatory and compliance requirements |
Anthropic Claude Certified Architect - Professional Sample Questions:
You are auditing a procurement-assistant agent whose defined responsibility is to draft purchase requests for review.
For each tool currently configured on the agent, select yes if the tool should remain after a least-privilege audit. Otherwise, select no if it should be removed.
Correct Answer:
Explanation:
Yes, No, Yes, No, Yes
Least privilege requires each retained tool to be necessary for the agent's assigned responsibility and restricted to the minimum action level needed. Catalog lookup is appropriate because vendor and SKU information is needed to prepare an accurate request. The policy-document tool is similarly justified because the agent must ground the draft in applicable procurement rules. The draft-write tool is also aligned because it writes only to a review queue, preserving the required human approval boundary.
The inbox-send tool exceeds the stated responsibility. Sending a request directly to a vendor converts a drafting assistant into an externally acting purchasing agent and bypasses the review stage. The production- database administrator tool is unrelated to procurement and introduces unnecessary destructive capability, privilege-escalation exposure, and potential data-access risk.
Anthropic's prompt-injection guidance recommends limiting access to sensitive data and actions and applying least privilege so that a compromised agent can cause minimal damage. Claude Code also supports tool- specific allow, ask, and deny rules that are enforced outside the model. Prompt-Injection Mitigation, Claude Code Permissions Study Guide references/topics: Capability-bloat auditing; least privilege; tool scoping; human review gates; separation of drafting and execution authority.
You are reviewing a peer's end-to-end design for a Claude-based platform expected to scale to thousands of concurrent users.
For each statement, indicate Yes if it reflects sound architectural practice. Otherwise, select No.
Correct Answer:
Explanation:
Authentication and authorization run before retrieval so retrieval can filter by identity - Yes An asynchronous queue absorbs bursty traffic between intake and the model-invocation layer - Yes Tax computation is encoded directly in the system prompt rather than in code - No Conversation logs include unredacted government identifiers to maximize tuning signal - No Authentication and authorization must precede retrieval so unauthorized information never enters model context. An asynchronous queue is appropriate for burst absorption, backpressure, controlled concurrency, and retry management at scale. Deterministic tax computation should be implemented in validated code or a controlled calculation tool, not delegated to probabilistic prompt interpretation. Including unredacted government identifiers in conversation logs violates data-minimization principles and creates unnecessary privacy, security, and regulatory exposure. Sensitive fields should be removed, tokenized, or redacted before logging or model use unless specifically required and authorized. The resulting design separates deterministic computation, access control, scalable orchestration, and language reasoning into appropriate architectural layers.
You are assessing data-exfiltration risk in a Claude-based assistant that has tools for both internal-document retrieval and outbound HTTP calls.
Which scenario most directly indicates a data-exfiltration risk?
- A. The outbound HTTP tool returns a 200 response when the assistant calls an allow-listed domain to fulfil a user-initiated data-lookup request.
- B. The internal-document retrieval tool returns a document that the user is authorized to view.
- C. Adversarial content in a retrieved document instructs the model to call the outbound HTTP tool and send sensitive content to an attacker-controlled URL.
- D. The user submits a routine question and receives a routine answer.
Correct Answer: C 🗳️
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You are presenting an architectural decision to a mixed audience that includes an executive sponsor and the engineering leads who will implement the decision.
Which presentation strategy best serves both audiences?
- A. Open with a deep dive into low-level implementation details targeted at engineering leads, and stop there without addressing the business outcomes or trade-offs the executive sponsor needs.
- B. Lead with the decision, the business outcomes it serves, and the trade-offs accepted; follow with the technical rationale, alternatives, and implementation implications for the engineering audience.
- C. Skip the rationale, alternatives, and trade-off discussion entirely and simply announce the chosen decision, leaving both audiences without the context needed to implement or validate it.
- D. Present a single undifferentiated narrative that addresses technical and business concerns with equal weight throughout, treating both audiences as requiring the same depth on every section.
Correct Answer: B 🗳️
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You are sequencing decomposed components in an invoice-processing pipeline.
For each of the decomposed components, select the execution layer it belongs to: "Pre-Processing," "Model Stage," or "Post-Processing."
Correct Answer:
Explanation:
Model Stage, Post-Processing, Post-Processing, Model Stage, Pre-Processing, Pre-Processing Pre-processing prepares source material before Claude receives it. Optical character recognition converts scanned invoice images into machine-readable text. Because PII redaction is explicitly performed before model invocation, it also belongs in pre-processing. Additional activities at this layer can include file validation, malware scanning, normalization, page separation, and metadata extraction.
The model stage contains tasks requiring Claude's language-understanding capability. Classifying the invoice type involves interpreting textual and contextual features, while extracting structured invoice fields requires mapping unstructured content into defined business attributes.
Post-processing verifies and commits the model's result. Schema validation confirms that required fields exist, data types are correct, enumerated values are permitted, and structural constraints are satisfied.
Persistence must occur only after validation and any required human review because the system of record should not receive malformed or unapproved model output.
This decomposition separates probabilistic inference from deterministic processing. OCR, redaction, validation, and persistence do not need to be delegated to Claude when conventional components can execute them more predictably. The resulting architecture reduces model workload, strengthens privacy controls, improves auditability, and prevents unvalidated output from directly changing authoritative records.
Study Guide references/topics: Task decomposition; pre-processing; model inference; post-processing; deterministic validation; privacy-by-design; system-of-record protection.
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