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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Context Management & Responsible AI | 15% | - Safety and compliance
|
| Agentic Architecture & Orchestration | 27% | - Agent design patterns
|
| Prompt Engineering & Structured Output | 20% | - Advanced prompting techniques
|
| Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
| Claude Code Configuration & Workflows | 20% | - CI/CD and development integration
|
Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:
1. During a billing dispute resolution, your agent successfully retrieves customer info via get_customer and order details via lookup_order, but when attempting to call process_refund, the tool returns a timeout error. The agent has enough information to explain the charges and verify refund eligibility, but cannot actually process the refund due to the backend failure. What approach best balances first-contact resolution with appropriate error handling?
A) Explain the billing confirm refund eligibility, acknowledge the system issue preventing immediate processing, and offer escalation or retry later
B) Implement automatic retries with exponential backoff for process_refund, keeping the conversation open until the refund is successfully processed
C) Escalate immediately to a human agent since the refund action cannot be completed
D) Confirm the refund will be processed and close the conversation, since the system has all necessary information to complete it automatically
2. When implementing your lookup_order MCP tool, the backend sometimes returns errors (e.g.,
"Order not found" or temporary database failures). What is the correct pattern for communicating these errors back to the agent?
A) Return the error message in the tool result content with the isError flag set to true
B) Throw an exception from the tool handler so the agent framework can catch and log it
C) Log the error server-side and return an empty result to avoid confusing the model
D) Return a success response with a "status" field indicating the error type
3. A developer includes multiple unrelated tasks inside one extremely long prompt. What is the MOST likely outcome?
A) Faster inference.
B) Increased prompt clarity.
C) Improved reasoning.
D) Reduced instruction clarity.
4. A customer sends: "This is frustrating. I've explained my issue twice and nothing is being resolved. I want to talk to a real person NOW." The agent has not yet called any tools to investigate their account. What should the agent do?
A) Briefly explain what the agent can help with and offer to resolve the issue quickly, escalating only if the customer repeats their request.
B) First call get_customer and lookup_order to gather account context, then escalate to a human agent.
C) Acknowledge the frustration and ask one targeted question to understand the specific issue before escalating.
D) Immediately call escalate_to_human with the conversation history.
5. The web search agent has gathered several relevant sources for a research topic. The document analysis agent now needs to examine these sources. How does information typically flow between these two specialized subagents?
A) The coordinator agent receives the web search agent's output and includes relevant findings in the prompt when invoking the document analysis agent.
B) The agents communicate through an event-driven message queue, with the document analysis agent subscribing to web search completion events.
C) Both agents access a shared memory store where the web search agent writes findings and the document analysis agent reads them.
D) The web search agent directly invokes the document analysis agent, passing the discovered sources as parameters.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: A |






