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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Agentic Architecture & Orchestration | 27% | - Multi-agent orchestration
- 1. Parallel task decomposition
- 2. Coordinator / sub-agent patterns
- Agentic loops & lifecycle design
- 1. Stop reason handling and control flow
- 2. Tool use loop execution (request → tool_use → result → next step)
|
| Tool Design & MCP Integration | 18% | - Tool interface design
- 1. Structured tool input/output schemas
- 2. Clear tool descriptions and boundaries
- Model Context Protocol (MCP)
- 1. Tool selection and routing strategies
- 2. MCP server integration patterns
|
| Prompt Engineering & Structured Output | 20% | - Instruction design
- 1. Deterministic output formatting (e.g., JSON)
- 2. Few-shot prompting strategies
- Tool-augmented prompting
- 1. Validation and retry loops
- 2. Tool-use driven reasoning patterns
|
| Context Management & Reliability | 15% | - Context window optimization
- 1. "Lost in the middle" mitigation strategies
- 2. Managing long conversation degradation
- System reliability
- 1. Error propagation handling
- 2. Escalation strategies (fail vs retry vs human)
|
| Claude Code Configuration & Workflows | 20% | - CI/CD and workflow integration
- 1. Command vs plan mode usage
- 2. Automated pipeline integration
- Claude Code configuration
- 1. CLAUDE.md hierarchy and scoping
- 2. Project-level vs user-level configuration
|
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最新的 Claude Certified Architect CCA-F 免費考試真題 (Q58-Q63):
問題 #58
A pull request modifies 14 files across a stock tracking module. When analyzing all files in a single pass, Claude provides superficial comments, misses obvious bugs, and produces contradictory feedback. How should you redesign the multi-pass review architecture to resolve this?
- A. Require developers to manually split large PRs into smaller submissions of 3-4 files before triggering the automated review.
- B. Run three independent single-pass reviews on the full PR and only flag issues that achieve consensus across at least two runs.
- C. Split the review into focused passes: analyze each file individually for local issues, followed by a separate integration-focused pass for cross-file data flow.
- D. Switch to a higher-tier model with a larger context window so all 14 files receive adequate attention in one pass.
答案:C
解題說明:
Splitting reviews into focused passes directly addresses attention dilution when processing many files at once. Per-file analysis ensures consistent depth for local issues, while a separate integration pass catches cross-file architectural issues.
問題 #59
Anthropic's tool use documentation states: "Write instructive error messages. Instead of generic errors like 'failed', include what went wrong and what Claude should try next." A billing dispute agent uses lookup_order, which catches all exceptions and returns a tool_result with is_error:
true and the message "Tool execution failed". Monitoring shows two failure modes: the agent retries the identical call until hitting the turn limit, or it immediately calls escalate_to_human without trying alternative tools. Which change follows the documented recommendation and gives Claude the information it needs to select the correct recovery action for each error type?
- A. Return error-type-specific messages with is_error: true, e.g., "Order not found-try get_customer to search by phone" for data errors and "Database timeout (transient)-retry should succeed" for infrastructure errors.
- B. Remove is_error: true and return the error details as normal tool content, so Claude reasons about the response as data rather than treating it as a flagged failure condition that biases retry behavior.
- C. Add an error classification step in the agentic loop that intercepts tool errors before Claude sees them, tags each as "retry," "try_alternative," or "escalate," and appends that recommendation to the tool result.
- D. Implement retry logic with exponential backoff inside each tool implementation so transient errors are resolved transparently within the tool before any failure result is surfaced to Claude in the agentic loop.
答案:A
解題說明:
Specific error messages tell Claude both what failed and the appropriate next action. A missing order should trigger an alternative lookup path, while a transient timeout may justify retrying. This directly follows Anthropic's recommendation for instructive tool errors.
問題 #60
Which of the following represent anti-patterns when designing escalation and ambiguity resolution logic for Claude? Choose 2 correct answers.
- A. Automatically escalating a case whenever the model's self-reported confidence score drops below a specific threshold.
- B. Escalating a transaction when it exceeds a programmatic business threshold enforced via a PostToolUse hook.
- C. Routing a case to a human agent purely because the user uses highly negative or frustrated language.
- D. Escalating immediately when a customer explicitly demands to speak to a human representative.
答案:A,C
解題說明:
Self-reported confidence scores and sentiment-based routing are explicitly identified as escalation anti-patterns. Valid triggers include explicit human requests, programmatic business thresholds, capability limits, and policy gaps.
問題 #61
Your agent uses three tools: get_property_details(property_id) returns data including street address, get_price_history(property_id) returns historical pricing, and get_neighborhood_info(address) returns area statistics. You observe that get_neighborhood_info always requires get_property_details first just to extract the address, even when users specify the property by ID. This creates unnecessary latency and failure coupling - if the first call fails, the neighborhood request also fails. What tool design change best addresses this?
- A. Create a lookup_address(property_id) helper tool for retrieving addresses.
- B. Consolidate into a single get_property_with_neighborhood(property_id) tool returning both datasets.
- C. Add retry logic and timeout handling to get_property_details.
- D. Change get_neighborhood_info to accept property_id, resolving the address internally.
答案:D
解題說明:
Allowing the neighborhood tool to accept the same identifier the user provides removes the need for the agent to chain through another tool just to extract an intermediate value. Resolving the address internally reduces latency, avoids unnecessary dependency on a prior tool call, and makes the workflow more reliable.
問題 #62
In a multi-agent orchestration, the synthesis agent occasionally misuses a web search tool instead of synthesizing the provided findings. How should you prevent this cross-role misuse according to the principle of scoped tool access?
- A. Remove the web search tool from the synthesis agent's allowed tool set entirely.
- B. Add a capitalized warning in the system prompt instructing the synthesis agent to ignore web search capabilities.
- C. Use the fork session command to isolate the web search tool execution.
- D. Implement a PostToolUse hook to silently drop web search results when executed by the synthesis agent.
答案:A
解題說明:
Agents with tools outside their specialization tend to misuse them. The most robust architectural fix for cross-role tool misuse is scoped tool access: explicitly removing the irrelevant tool from that specific subagent's allowed array so it strictly focuses on its assigned role.
問題 #63
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