Anthropic CCA-F : Claude Certified Architect Foundations (CCA-F)

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:

1. The synthesis agent completes its initial pass but flags that three key research questions remain unanswered because the web search and document analysis agents didn't find relevant information on those specific subtopics. The coordinator currently proceeds directly to report generation, producing reports with incomplete coverage. What change would most effectively improve research completeness?

A) Increase the initial breadth of queries sent to web search and document analysis to reduce the probability of missing relevant information.
B) Have the report generation agent note which research questions couldn't be answered, so users understand the limitations of the final output.
C) Have the coordinator evaluate synthesis output for gaps, then re-delegate to web search and document analysis with targeted queries before invoking synthesis again.
D) Give the synthesis agent direct access to web search tools so it can autonomously fill knowledge gaps without returning control to the coordinator.

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

3. 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) Subagent context isolation means task descriptions from the coordinator don't automatically reach subagents; you need to configure explicit context forwarding in ClaudeAgentOptions.
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) 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.
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.

4. The agent verifies customer identity through a multi-step process before resetting passwords.
During testing, you notice that after the customer answers the third verification question, the agent asks them to provide their name again, as if the earlier exchange never happened. What's the most likely cause of this behavior?

A) The verification tool is clearing the agent's internal state after each successful validation step.
B) Claude's memory retention is limited to two conversational turns by default, requiring explicit configuration to extend it.
C) The conversation history isn't being passed in subsequent API requests.
D) The prompt lacks instructions telling Claude to remember information across multiple exchanges.

5. An enterprise wants Claude responses to remain professional across every interaction. Where should tone instructions primarily reside?

A) Retrieved documents
B) System prompt
C) API key description
D) User prompt only

Solutions: