Anthropic Claude Certified Architect Foundations (CCA-F) 認定 CCA-F 試験問題:

1. 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: true with a structured technical error containing the device ID, timeout duration, and raw API response code for debugging purposes.
B) Set is_error: false with an optimistic message indicating the command was dispatched successfully but device acknowledgment is still pending.
C) 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.
D) Set is_error: true with a message explaining the likely cause and suggesting troubleshooting steps the agent can offer the user.

2. After the web search agent finds 25 sources (120K tokens of raw content), the document analysis agent extracts key insights (15K tokens), and the synthesis agent produces a coherent narrative draft (3K tokens), the coordinator must pass context to the report generation agent for the final output with proper source citations. What context-passing strategy provides the best balance of completeness and efficiency?

A) Pass only the synthesis draft and have a separate post-processing pipeline match claims to sources and insert citations after the report is generated.
B) Pass the full accumulated context from all prior agents.
C) Pass the synthesis draft along with a structured source index that maps key claims to their source URLs and relevant excerpts.
D) Pass a condensed summary of all prior stages that preserves the main findings and attributes them to sources by name only.

3. Your agent is handling a billing dispute. After calling get_customer and lookup_order, it identifies that the dispute involves a promotional pricing error requiring manager approval - beyond the agent's authorization level. How should the workflow handle this mid-process escalation?

A) Attempt the refund with process_refund anyway, escalating only if the system rejects the transaction.
B) Persist the complete conversation and tool response history to a database, then call escalate_to_human with a reference ID.
C) Compile a structured handoff with customer details, order info, and the identified issue before calling escalate_to_human.
D) Call escalate_to_human passing only the customer's original message.

4. The coordinator agent has AgentDefinitions configured for all four specialized subagents, each with appropriate descriptions, prompts, and tool restrictions. During testing, you notice the coordinator correctly reasons about when to delegate - it generates messages like "I'll ask the web search agent to find sources on this topic" - but no subagent execution ever occurs. The coordinator then proceeds as if the delegation happened and continues with incomplete information. Logs show no errors. What is the most likely cause?

A) The coordinator's allowedTools configuration doesn't include "Task", so while it can reason about delegation, it cannot invoke the tool required to spawn subagents.
B) The coordinator's max_tokens setting is too low, causing the Task tool invocation to be truncated before the subagent type parameter can be specified.
C) Subagent context isolation means task descriptions from the coordinator don't automatically reach subagents; you need to configure explicit context forwarding in ClaudeAgentOptions.
D) The AgentDefinitions are configured correctly, but the coordinator's system prompt doesn't explicitly list the available subagent types, preventing the model from knowing they can be invoked.

5. After the web search and document analysis subagents complete their tasks, the coordinator needs to spawn the synthesis subagent to synthesize the findings. What is the correct approach for providing the synthesis subagent with the information it needs?

A) Spawn the subagent with only a brief task description, relying on automatic context inheritance from the coordinator
B) Pass reference identifiers and configure the subagent with read access to a shared memory store where other subagents deposited their results
C) Include the complete findings from both subagents directly in the synthesis subagent's prompt
D) Provide the subagent with tool definitions that allow it to request outputs from other subagents via callbacks

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