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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Claude Code Workflows & Configuration	20%	- Claude Code operational patterns 1. CI/CD and workflow integration 2. Plan mode vs execution mode
Topic 2: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tool schema design 2. MCP client/server integration patterns
Topic 3: Context Management & Reliability	15%	- Long-context optimization 1. Context window management 2. Reliability and retry strategies
Topic 4: Prompt Engineering & Structured Output	20%	- Reliable structured generation 1. Schema-guided outputs 2. Prompt patterns for agents
Topic 5: Agentic Architecture & Orchestration	27%	- System orchestration patterns 1. Task decomposition strategies 2. Hub-and-spoke agent systems - Agentic loop design and execution lifecycle 1. Multi-agent coordination and delegation patterns 2. Tool use decision flow (tool_use vs end_turn)

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q98-Q103):

NEW QUESTION # 98
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, Glob) and integrates with Model Context Protocol (MCP) servers.
An engineer submits two requests:
- Request A: "Rename the getUserData function to fetchUserProfile
everywhere it's used."
- Request B: "Improve error handling throughout the data processing
module - add try/catch blocks, meaningful error messages, and ensure
failures don't silently corrupt data."
For which request does specifying an explicit multi-phase workflow (such as analyze -> propose
-> implement with review) most improve outcome quality?

A. Neither request benefits significantly
B. Request B, the error handling task
C. Request A, the function rename task
D. Both requests benefit equally

Answer: B

Explanation:
Improving error handling is broad and ambiguous, requiring analysis of failure paths, design decisions, and review before implementation. A simple function rename is deterministic and can usually be executed directly.

NEW QUESTION # 99
Which of the following strategies are highly recommended for integrating Claude into a robust test generation workflow? Choose 2 correct answers.

A. Share specific test failure outputs with Claude to guide progressive improvement of the implementation.
B. Document testing standards, valuable test criteria, and available fixtures in the project-level CLAUDE .md.
C. Execute tests automatically within a PreToolUse hook to prevent Claude from saving failing code.
D. Rely on aggregate test coverage metrics to determine if the generated tests are semantically correct.

Answer: A,B

Explanation:
Documenting testing standards and fixtures in CLAUDE.md ensures baseline consistency across the project. Sharing test failures guides iterative refinement, enabling the model to self-correct. PreToolUse hooks block execution and cannot run tests automatically on unsaved code, while aggregate metrics mask semantic correctness issues.

NEW QUESTION # 100
Which of the following statements accurately describe the functionality and benefits of using the . claude/rules/ directory for configuration? Choose 2 correct answers.

A. It allows for organizing topic-specific rule files as a modular alternative to a monolithic CLAUDE .md file.
B. It replaces the need for Model Context Protocol (MCP) servers when fetching dynamic API schemas from backend services.
C. Rules placed here automatically override personal user-level N/. claude/CLAUDE .md configurations globally across all projects.
D. It supports YAML frontmatter paths fields containing glob patterns for targeted, conditional rule activation.

Answer: A,D

Explanation:
The .claude/rules/ directory is utilized to organize topic-specific conventions as a cleaner alternative to a monolithic CLAUDE.md file. Furthermore, files in this directory support YAML frontmatter with 'paths' glob patterns, allowing rules to activate conditionally only when relevant files are being edited, thus saving context token space.

NEW QUESTION # 101
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. Provide the subagent with tool definitions that allow it to request outputs from other subagents via callbacks
B. Include the complete findings from both subagents directly in the synthesis subagent's prompt
C. Spawn the subagent with only a brief task description, relying on automatic context inheritance from the coordinator
D. Pass reference identifiers and configure the subagent with read access to a shared memory store where other subagents deposited their results

Answer: B

Explanation:
The synthesis subagent requires the actual content from prior subagents to perform its task.
Including the complete findings in its prompt ensures it has the necessary context to accurately synthesize information without relying on indirect references or external state.

NEW QUESTION # 102
Your agent achieves a low first-contact resolution rate because it attempts to autonomously handle complex policy exceptions, while simultaneously escalating straightforward tasks. What is the most effective approach to improve this escalation calibration?

A. Deploy a separate classifier model to predict which requests need escalation before the main agent begins.
B. Implement sentiment analysis to detect frustration levels and automatically escalate when they are high.
C. Require the agent to self-report a confidence score (1-10) and route to humans when confidence falls below 7.
D. Add explicit escalation criteria to the system prompt with few-shot examples demonstrating when to escalate versus resolve autonomously.

Answer: D

NEW QUESTION # 103
......

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