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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool selection and routing strategies 2. MCP server integration patterns - Tool interface design 1. Clear tool descriptions and boundaries 2. Structured tool input/output schemas
Prompt Engineering & Structured Output	20%	- Tool-augmented prompting 1. Tool-use driven reasoning patterns 2. Validation and retry loops - Instruction design 1. Few-shot prompting strategies 2. Deterministic output formatting (e.g., JSON)
Claude Code Configuration & Workflows	20%	- Claude Code configuration 1. CLAUDE.md hierarchy and scoping 2. Project-level vs user-level configuration - CI/CD and workflow integration 1. Automated pipeline integration 2. Command vs plan mode usage
Agentic Architecture & Orchestration	27%	- Multi-agent orchestration 1. Coordinator / sub-agent patterns 2. Parallel task decomposition - Agentic loops & lifecycle design 1. Stop reason handling and control flow 2. Tool use loop execution (request → tool_use → result → next step)
Context Management & Reliability	15%	- System reliability 1. Escalation strategies (fail vs retry vs human) 2. Error propagation handling - Context window optimization 1. Managing long conversation degradation 2. "Lost in the middle" mitigation strategies

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q71-Q76):

NEW QUESTION # 71
You must enforce a strict business rule that the agent escalates any refund request exceeding $500. What is the most deterministic method to implement this?

A. Provide 5 negative few-shot examples showing the agent refusing high-value refunds.
B. Use an Agent SDK hook (e.g., PreToolUse or PostToolUse) to programmatically intercept and block the action.
C. Configure tool_choice to 'auto' so the model can dynamically assess the financial risk.
D. Add a capitalized warning in the system prompt explicitly forbidding high-value refunds.

Answer: B

Explanation:
For critical business rules requiring deterministic compliance, programmatic enforcement via Agent SDK hooks is required. Prompt-based instructions (including warnings and few-shot examples) are probabilistic and can occasionally be ignored by the LLM.

NEW QUESTION # 72
A developer at quicktechie.com is building a highly experimental MCP server testing a new vector database. They want to use it locally in Claude Code without exposing the configuration to the rest of the team. Which configuration file should they use?

A. .claude/rules/mcp.md
B. ~/.claude.json
C. .mcp.json at the project root
D. mcp_local.config

Answer: B

Explanation:
Personal, experimental, or user-specific MCP configurations should be placed in the user-scoped -/.claude.json file, preventing them from being shared with the team via the project repository's .mcp.json.

NEW QUESTION # 73
You have testing conventions that must be uniformly applied, but your test files are distributed alongside source code files (e.g., Button. test. tsx next to Button. tsx). Why is creating a rule file in . claude/rules/ better than modifying the root CLAUDE. md?

A. The root CLAUDE .md is strictly reserved for environment variable expansion.
B. The root CLAUDE .md cannot process testing frameworks like Jest or Vitest.
C. Rules in . claude/rules/ can natively execute shell commands prior to loading, unlike the root configuration.
D. Consolidating all conventions in the root CLAUDE .md requires Claude to infer which sections apply to which files, making the application of rules probabilistic rather than deterministic.

Answer: D

Explanation:
Consolidating all conventions in a root CLAUDE.md file forces the model to rely on inference to determine which sections apply to the current context. Using .claude/rules/ with glob patterns applies conventions deterministically based on file paths, regardless of directory location.

NEW QUESTION # 74
Which of the following statements correctly describe best practices for integrating Claude Code into a CI/CD pipeline? Choose 2 correct answers.

A. Using the Message Batches API for blocking pre-merge checks to maximize cost savings.
B. Running Claude Code in interactive mode to allow developers to answer clarifying questions during the build process.
C. Using the -p flag for non-interactive execution so the pipeline does not hang waiting for user input.
D. Separating the code generation session from the code review session to ensure the reviewer evaluates the code objectively.

Answer: C,D

Explanation:
Best practices include using the -p flag for non-interactive mode and isolating the generator and reviewer sessions to avoid confirmation bias. Using the Batch API for blocking pre-merge checks is an anti-pattern due to its lack of latency guarantees, and interactive mode hangs automated pipelines.

NEW QUESTION # 75
You are building a customer support resolution agent using the Claude Agent SDK. The agent is currently escalating simple requests like password resets if the customer uses angry language. How should you fix this escalation logic?

A. Lower the sentiment analysis threshold so that the agent only escalates if explicit profanity is detected.
B. Implement escalation based on objective criteria such as policy gaps, capability limits, or explicit human requests, rather than customer sentiment.
C. Issue an automatic partial refund to calm the customer down before processing the password reset.
D. Use a PreToolUse hook to normalize the customer's text input to a neutral tone before Claude processes it.

Answer: B

Explanation:
Escalating based on negative sentiment is an anti-pattern because sentiment does not equal task complexity. An angry customer with a simple request can still be served autonomously. Escalation should always rely on objective criteria like policy gaps, capability limits, business thresholds, or an explicit request for a human.

NEW QUESTION # 76
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