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

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Anthropic CCA-F Exam Syllabus Topics:

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

1. 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

2. A customer returns 4 hours after the initial session about the same billing dispute. The previous
32-turn session contains lookup_order results showing "Status: PENDING, Expected resolution:
24-48 hours." In testing, you observe that when resuming sessions with stale tool results, the agent often references the outdated data in responses (e.g., "I see your refund is still being processed") even after subsequent fresh tool calls return different information. What approach most reliably handles returning customers?

A) Start a new session, inject a structured summary of the previous interaction (issue type, actions taken, resolution status), then make fresh tool calls before engaging.
B) Resume with full history and add a system prompt instruction telling the agent to always prefer the most recent tool results when multiple calls to the same tool exist in context.
C) Resume with full history but filter out previous tool_result messages before resuming, keeping only the human/assistant turns so the agent must re-fetch needed data.
D) Resume with full history and configure the agent to automatically re-call all previously-used tools at session start to ensure data freshness.

3. Production monitoring shows that follow-up queries like "summarize what we learned about market trends" consistently take 40+ seconds. Investigation reveals the coordinator spawns the synthesis subagent for each summarization request, passing 80K+ tokens of accumulated findings. The coordinator already has these findings in its context from orchestrating the research.
What's the most effective way to improve response time for these follow-up summaries?

A) Have the coordinator handle straightforward summarization requests directly using its existing context, reserving subagent spawning for complex analysis.
B) Enable prompt caching on the synthesis subagent to reduce the overhead of repeatedly transferring the same research findings.
C) Spawn the synthesis subagent with reduced context and have it request specific findings from the coordinator on-demand.
D) Pre-generate and cache summaries at multiple granularities whenever new findings accumulate.

4. You've configured the system so that all four subagents have access to the complete set of
18 tools. During testing, agents frequently call tools outside their specialization - the synthesis agent attempts web searches, and the report generator tries to analyze documents. What is the primary cause of this poor tool selection behavior?

A) The agents' role descriptions in their system prompts conflict with having access to tools outside that role.
B) The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
C) Choosing from 18 tools instead of 4-5 relevant ones increases decision complexity beyond reliable selection thresholds.
D) The tool definitions consume too much context window space, leaving insufficient room for task content.

5. You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs. direct execution.
You need to add a date validation check ensuring event dates are in the future. This requires adding a conditional statement to one existing function in a single file. What is the most appropriate approach?

A) Enter plan mode to analyze how the validation might impact other parts of the reservation flow.
B) Enter plan mode first to create a detailed implementation strategy before making the change.
C) Use direct execution to make the change.
D) Start with extended thinking mode enabled to ensure thorough reasoning about the validation logic.

Solutions: