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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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
Topic 2: Claude Code Configuration & Workflows	20%	- CI/CD and workflow integration 1. Automated pipeline integration 2. Command vs plan mode usage - Claude Code configuration 1. Project-level vs user-level configuration 2. CLAUDE.md hierarchy and scoping
Topic 3: Agentic Architecture & Orchestration	27%	- Agentic loops & lifecycle design 1. Tool use loop execution (request → tool_use → result → next step) 2. Stop reason handling and control flow - Multi-agent orchestration 1. Parallel task decomposition 2. Coordinator / sub-agent patterns
Topic 4: Context Management & Reliability	15%	- Context window optimization 1. "Lost in the middle" mitigation strategies 2. Managing long conversation degradation - System reliability 1. Escalation strategies (fail vs retry vs human) 2. Error propagation handling
Topic 5: Prompt Engineering & Structured Output	20%	- Tool-augmented prompting 1. Validation and retry loops 2. Tool-use driven reasoning patterns - Instruction design 1. Deterministic output formatting (e.g., JSON) 2. Few-shot prompting strategies

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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q69-Q74):

NEW QUESTION # 69
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. Rely on aggregate test coverage metrics to determine if the generated tests are semantically correct.
C. Execute tests automatically within a PreToolUse hook to prevent Claude from saving failing code.
D. Document testing standards, valuable test criteria, and available fixtures in the project-level CLAUDE .md.

Answer: A,D

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 # 70
While configuring prompt engineering standards for a production application, you must decide when to implement few-shot examples. Which of the following scenarios represent the most effective use cases for few-shot prompting? Choose 2 correct answers.

A. Tasks requiring standard output formats like valid JSON, where tool_use is already implemented.
B. Simple, well-defined data extraction tasks with clear objective criteria.
C. Ambiguous classification tasks where the boundaries between categories are fuzzy or subjective.
D. Tasks requiring a custom, non-standard output format that Claude does not handle natively.

Answer: C,D

Explanation:
Few-shot prompting is most valuable when the task has ambiguous boundaries (like detecting sarcasm) or requires custom output formats that aren't standard. It is generally unnecessary for simple, well-defined tasks or standard formats like JSON which are better handled natively or via tool_use.

NEW QUESTION # 71
During the final synthesis phase, the coordinator receives conflicting statistical data from two different subagents (e.g., verified database vs. outdated PDF). What is the correct architectural pattern for handling this conflict?

A. Maintain structured claim-source mappings to preserve information provenance (source, confidence, timestamp) for informed resolution.
B. Silently average the conflicting numerical values to provide a balanced estimate.
C. Arbitrarily select the value from the most recently updated source to resolve the conflict.
D. Halt the synthesis process and prompt the user to manually input the correct statistic.

Answer: A

Explanation:
When subagents provide conflicting data, the system must track information provenance (source, confidence level, timestamp) through structured claim-source mappings. This metadata enables informed conflict resolution and audit trails. Arbitrary selection or silently averaging data are architectural anti-patterns.

NEW QUESTION # 72
To measure ongoing error rates in high-confidence extractions and detect novel error patterns, which methodology should be implemented?

A. Exhaustive 100% human review.
B. Stratified random sampling.
C. Prompt-based sequential pipelining.
D. Aggregate accuracy averaging.

Answer: B

Explanation:
Stratified random sampling is the recommended method for measuring error rates in data classified as 'high-confidence'. This catches novel error patterns that the model might be confidently hallucinating without requiring unscalable 100% manual review.

NEW QUESTION # 73
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.
Your team frequently migrates React components to Vue. You've written a step-by-step workflow for Claude Code to follow during each migration, and you want every developer on the team to invoke it by typing /migrate-component. The workflow should stay in sync as the team iterates on it. Where should you place the skill file?

A. In ~/.claude/skills/migrate-component/SKILL.md on each developer's machine
B. In the project's.claude/settings.json using a skillOverrides entry to register and define the workflow
C. In .claude/skills/migrate-component/SKILL.md at the project root, committed to version control
D. As a detailed instruction block in the project's root CLAUDE.md file

Answer: C

Explanation:
A project-scoped skill is available to everyone working in that repository and stays synchronized through version control. The skill directory name exposes it as /migrate-component.

NEW QUESTION # 74
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