考古題網站在近幾年激增，這可能是導致你準備 Anthropic 的 CCAR-F 考試認證毫無頭緒。Anthropic CCAR-F 考試培訓資料是一些專業人士和通過了的考生用實踐證明瞭的有效的培訓資料，它可以幫助你通過考試認證。告訴各考生一個好消息：Testpdf CCAR-F 考古題已經更新，解除了考生的擔憂！現在購買考題將得到一定的優惠！每個考生在準備 Anthropic 認證考試時，都非常苦惱！希望各位考生順利通過考試！
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering & Structured Output | 20% | - Validation, parsing and retry loop strategies - Explicit criteria definition and few-shot prompting - System prompt design and persona alignment - JSON schema design and structured output enforcement |
| Topic 2: Claude Code Configuration & Workflows | 20% | - Path-specific rules and .claude/rules/ configuration - CLAUDE.md hierarchy, precedence and @import rules - CI/CD integration and non-interactive mode parameters - Custom slash commands and plan mode vs direct execution - Hooks vs advisory instructions |
| Topic 3: Agentic Architecture & Orchestration | 27% | - Task decomposition and dynamic subagent selection - Multi-agent patterns: coordinator-subagent and hub-and-spoke - Agentic loop design and stop_reason handling - Session state management and workflow enforcement - Error recovery, guardrails and safety patterns |
| Topic 4: Tool Design & MCP Integration | 18% | - Tool distribution and permission controls - Tool schema design and interface boundaries - Error handling and tool response formatting - MCP tool, resource and prompt implementation - Model Context Protocol (MCP) architecture and JSON-RPC 2.0 |
| Topic 5: Context Management & Reliability | 15% | - Context window optimization and prioritization - Token budget management and cost control - Context pruning and summarization strategies - Idempotency, consistency and failure resilience |
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問題 #141
Your CI pipeline performs security-focused code reviews on approximately 50 pull requests daily, currently costing $150 per day through the synchronous API. Reviews are non-blocking-- developers merge after tests pass and address findings in follow-up commits. You are evaluating the Message Batches API because it offers a 50% cost reduction. What factor most determines whether batch processing is appropriate for this use case?
答案：B
解題說明：
The decisive trade-off is whether the workflow can tolerate asynchronous completion. Anthropic's Message Batches API documentation states that batch requests receive a 50% discount and that most batches finish within one hour, but processing can continue for as long as 24 hours.
Therefore, the review process is suitable for batching only if potentially delayed feedback remains useful.
Option C directly tests that operational requirement. The reviews are already non-blocking, which makes batching promising, but non-blocking does not automatically mean that feedback delivered many hours later still has value. If developers have already merged and moved to unrelated work, delayed security findings may increase remediation cost or remain unaddressed.
問題 #142
You are building developer-productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools-Read, Write, Bash, Grep, and Glob-and integrates with Model Context Protocol (MCP) servers.
An engineer asks the agent to find every file in a monorepo that imports the @company/auth package to understand how authentication is used across services.
Which built-in tool is most appropriate for this task?
答案：D
解題說明：
Option C directly searches source-file contents for imports of @company/auth . Anthropic's Claude Code tools reference states that Grep locates patterns within files, while Glob matches filenames and paths. The search can account for the repository's supported module syntaxes, including static imports, require() calls, dynamic imports, and re-exports. It can also restrict results by file type or directory when appropriate. Option A identifies packages that declare the dependency but does not prove which source files import or invoke it; workspace-level dependency declarations may cover many packages. Option B finds authentication-related filenames, which are unrelated to whether a file imports the package. Option D searches directory names and therefore has the same limitation. After Grep returns the matching files and line numbers, the agent can read the surrounding code to determine whether each import supports middleware registration, token verification, authorization checks, or re-exporting. This produces an accurate usage inventory while minimizing context consumption and unnecessary file reads.
問題 #143
You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
Your pipeline runs:
PROMPT='You are a code reviewer. Analyze the provided diff for bugs,
security issues, and style violations.'
claude -p \
--dangerously-skip-permissions \
--system-prompt "$PROMPT" \
< diff.txt
The reviews complete and return feedback, but Claude only comments on the piped diff text--it never reads surrounding files in the checked-out repository to understand broader context, even when the diff modifies a function called by many other modules.
Which change to the invocation will cause Claude to inspect related repository files while still applying your custom review instructions?
答案：D
解題說明：
Option D preserves Claude Code's standard coding-agent instructions while adding the specialized review criteria. Anthropic documents that --system-prompt replaces the entire default system prompt, including its tool guidance, safety instructions, and coding conventions. It does not technically disable tools, but removing that guidance can make the invocation behave like a narrowly scoped text processor. --append-system-prompt retains the default behavior and layers the review instructions on top.
The prompt should explicitly direct Claude to use Read, Glob, and Grep to inspect definitions, callers, tests, and related modules whenever the diff alone is insufficient.
問題 #144
Your track_shipment(tracking_id) tool queries an external logistics API that sometimes fails - the API may be temporarily unavailable, the tracking ID may be malformed, or the shipment may not exist. Currently, your tool raises a Python exception when errors occur. Users report the agent gives unhelpful responses like "I'm having trouble with that request" instead of suggesting alternatives such as verifying the tracking number format or checking by order number. How should you handle errors in tool results?
答案：C
解題說明：
Structured error output gives the agent enough information to respond usefully. Including the error type, whether the issue is recoverable, and actionable guidance allows the agent to distinguish malformed tracking IDs, missing shipments, and temporary API failures, then suggest the correct next step to the user.
問題 #145
You're implementing the escalation logic for when the agent should call escalate_to_human. Your team proposes four different approaches for triggering escalation. Which approach will most reliably identify cases that genuinely require human intervention?
答案：A
解題說明：
Escalation should be based on clear operational triggers: explicit user request, authority or policy limits, and lack of meaningful progress. This combines user intent, business constraints, and task outcome signals, making escalation more reliable than relying only on sentiment, fixed retry counts, or rigid rules.
問題 #146
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