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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Prompt Engineering & Structured Output | 20% | - Structured data generation
- 1. Output validation and reliability
- 2. JSON schema enforcement
- Advanced prompting techniques
- 1. Few-shot and chain-of-thought prompting
- 2. System prompts and role framing
|
| Tool Design & MCP Integration | 18% | - Tool definition and best practices
- 1. Error handling and validation
- 2. Tool descriptions and selection logic
- Model Context Protocol (MCP)
- 1. MCP server and client setup
- 2. Tools, resources, and prompts integration
|
| Claude Code Configuration & Workflows | 20% | - CI/CD and development integration
- 1. Plan mode vs direct execution
- 2. Pipeline automation and review
- Configuration files and structure
- 1. Custom commands and workflows
- 2. CLAUDE.md and rules system
|
| Agentic Architecture & Orchestration | 27% | - Agent design patterns
- 1. Agent loops and control flow
- 2. Hub-and-spoke multi-agent systems
- Anthropic Agent SDK usage
- 1. Session state and context handling
- 2. Task spawning and tool management
|
| Context Management & Responsible AI | 15% | - Safety and compliance
- 1. Constitutional AI principles
- 2. Refusal handling and risk mitigation
- Context window optimization
- 1. Token management and truncation strategies
- 2. Context retention and summarization
|
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Anthropic Claude Certified Architect Foundations (CCA-F) 認定 CCA-F 試験問題 (Q35-Q40):
質問 # 35
A customer raises three separate issues during one session: a refund inquiry (turns 1-15), a subscription question (turns 16-30), and a payment method update (turns 31-45). At turn 48, the customer asks "What happened with my refund?" The conversation is approaching context limits.
What strategy best maintains the agent's ability to address all issues throughout the session?
- A. Extract and persist structured issue data (order IDs, amounts, statuses) into a separate context layer.
- B. Summarize earlier turns into a narrative description, preserving full message history only for the active issue.
- C. Rely on MCP tools to re-fetch relevant information on demand when the customer references earlier issues.
- D. Implement sliding window context that retains the most recent 30 turns.
正解:A
解説:
Persisting structured issue data separately allows the agent to reference critical details (like order IDs, amounts, and statuses) without relying on the full conversation history. This preserves the ability to address past issues even as token limits constrain the active conversational context.
質問 # 36
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.
A critical bug is affecting production users. Error logs show exceptions in the OrderProcessing module with a clear stack trace pointing to a specific function. You haven't worked with this module before. What's the most effective approach?
- A. Start with direct execution to gather initial information, then switch to plan mode to design a comprehensive solution before implementing any changes.
- B. Enter plan mode to explore the module's architecture and dependencies before attempting any fixes.
- C. Use direct execution to examine the stack trace, read the relevant code, and implement a fix once you identify the root cause.
- D. Use plan mode to analyze the error in context of the module's design, enumerate potential root causes, and prioritize fixes systematically.
正解:B
解説:
Because the module is unfamiliar, plan mode allows safe, read-only investigation of the stack trace, relevant code, and dependencies before changing production code. Anthropic recommends planning when working with unfamiliar code.
質問 # 37
A pull request modifies 14 files across a repository. A single-pass automated review produces inconsistent results, catching deep bugs in some files while missing obvious ones in others. How should the review architecture be redesigned to fix this?
- A. Split the review into focused passes: analyze each file individually for local issues, followed by a separate integration pass for cross-file data flow.
- B. Require developers to manually split the PR into smaller submissions of 3-4 files.
- C. Run three independent reviews on the full PR and only flag issues that reach consensus.
- D. Switch to a higher-tier model with a larger context window to process all files simultaneously.
正解:A
解説:
Splitting large code reviews into per-file local analysis passes (to catch syntax/local logic bugs) plus a separate cross-file integration pass prevents attention dilution. Relying solely on larger context windows or requiring consensus across full monolithic runs are anti-patterns.
質問 # 38
According to architectural best practices, which of the following characteristics describe tasks that necessitate the use of Plan Mode over Direct Execution? Choose 2 correct answers.
- A. Tasks involving a single-file bug fix with a clear stack trace.
- B. Tasks involving large-scale changes and multi-file modifications.
- C. Tasks requiring architectural decisions and evaluation of multiple valid approaches.
- D. Tasks involving minor style updates or typo corrections in documentation.
正解:B、C
解説:
Plan mode is specifically designed for complex tasks that involve multiple valid approaches, architectural decisions, and multi-file modifications. Simple, well-scoped fixes should use direct execution.
質問 # 39
In a multi-agent system, a subagent times out querying a database. How should this error be propagated back to the coordinator agent?
- A. Propagate the exception directly to a top-level handler to terminate the entire workflow.
- B. Return a generic string {"error": "Operation failed"}.
- C. Return structured error context including the failure type, what was attempted, and partial results.
- D. Catch the timeout and return an empty result set marked as successful to keep the workflow moving.
正解:C
解説:
Structured error propagation is critical. Returning structured error context (failure type, what was attempted, partial results) enables the coordinator to make intelligent recovery decisions. Silently returning empty results or terminating the whole workflow immediately are anti-patterns.
質問 # 40
......
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