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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Agentic Architecture & Orchestration | 27% | - Agentic loop design and execution lifecycle
|
| Context Management & Reliability | 15% | - Long-context optimization
|
| Claude Code Workflows & Configuration | 20% | - Claude Code operational patterns
|
| Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
| Prompt Engineering & Structured Output | 20% | - Reliable structured generation
|
Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:
1. A healthcare company processes long clinical reports. Some exceed Claude's practical context requirements. What is the BEST architectural approach?
A) Increase temperature.
B) Ignore the excess text.
C) Chunk documents before processing.
D) Randomly remove paragraphs.
2. A customer contacts the agent about a warranty claim on a power drill. Resolving this requires multiple sequential tool calls: get_customer to look up their account, lookup_order to find the purchase details, and then either process_refund or escalate_to_human depending on warranty eligibility. You're implementing the agentic loop that orchestrates these steps using the Claude API. What is the primary mechanism your application uses to determine whether to continue the loop or stop?
A) You track the number of tool calls made and exit the loop once a preconfigured maximum is reached.
B) You check the stop_reason field in each API response - the loop continues while it equals
"tool_use" and exits when it changes to "end_turn" or another terminal value.
C) You check whether Claude's response contains a text content block - if text is present, the agent has produced its final answer and the loop should exit.
D) You manually set the tool_choice parameter to "none" after the final expected tool call to force Claude to stop requesting tools.
3. An architect needs Claude to produce structured JSON that downstream software can parse automatically. Which prompting strategy is BEST?
A) Increase maximum output tokens only.
B) Explicitly specify the required JSON schema and formatting rules.
C) Ask Claude to "respond normally."
D) Use multiple unrelated examples.
4. Your control_device tool manages smart home devices through external APIs. When a device doesn't respond within the timeout period, the tool returns an error. Production logs show that the agent simply tells users "the device is not responding" without offering helpful next steps. Which error response structure would best enable the agent to provide useful follow-up?
A) Set is_error: false with an optimistic message indicating the command was dispatched successfully but device acknowledgment is still pending.
B) Set is_error: true with a brief "Device offline" message and provide a separate tool the agent can call to retrieve context-specific troubleshooting suggestions.
C) Set is_error: true with a structured technical error containing the device ID, timeout duration, and raw API response code for debugging purposes.
D) Set is_error: true with a message explaining the likely cause and suggesting troubleshooting steps the agent can offer the user.
5. Why is evaluation important after deploying a Claude application?
A) It increases context size.
B) It permanently changes model parameters.
C) It reduces network latency.
D) It measures response quality against defined objectives.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |



