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Anthropic CCA-F Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering & Structured Output	20%	- Advanced prompting techniques 1. Few-shot and chain-of-thought prompting 2. System prompts and role framing - Structured data generation 1. JSON schema enforcement 2. Output validation and reliability
Topic 2: Context Management & Responsible AI	15%	- Safety and compliance 1. Constitutional AI principles 2. Refusal handling and risk mitigation - Context window optimization 1. Token management and truncation strategies 2. Context retention and summarization
Topic 3: Claude Code Configuration & Workflows	20%	- CI/CD and development integration 1. Plan mode vs direct execution 2. Pipeline automation and review - Configuration files and structure 1. CLAUDE.md and rules system 2. Custom commands and workflows
Topic 4: Agentic Architecture & Orchestration	27%	- Anthropic Agent SDK usage 1. Session state and context handling 2. Task spawning and tool management - Agent design patterns 1. Agent loops and control flow 2. Hub-and-spoke multi-agent systems
Topic 5: Tool Design & MCP Integration	18%	- Model Context Protocol (MCP) 1. Tools, resources, and prompts integration 2. MCP server and client setup - Tool definition and best practices 1. Error handling and validation 2. Tool descriptions and selection logic

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Anthropic Claude Certified Architect Foundations (CCA-F) 認定 CCA-F 試験問題 (Q43-Q48):

質問 # 43
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 sees an unfamiliar error message "SYNC_CONFLICT: entity version mismatch detected" in production logs but doesn't know which of the 12 services in the codebase generates it. They ask the agent to help locate the source code. What exploration approach will most efficiently find the responsible code?

A. Use Glob to find files in directories commonly associated with error handling (such as errors/, exceptions/,or handlers/) across all services, then Read each matching file.
B. Read the project's README and service configuration files to understand the architecture, then systematically Read source files in each service directory.
C. Use Grep to find all files that import the project's error handling module, then Read those files to locate custom error definitions.
D. Use Grep to search for distinctive text from the error message (like "SYNC_CONFLICT" or "entity version mismatch"), then Read the matching files to understand context.

正解：D

解説：
Searching for the exact error code or unique message fragment is the fastest way to locate where it is defined or emitted. Read can then inspect the surrounding implementation and call path.

質問 # 44
When configuring Claude Code for a new project, you want to establish team-wide TypeScript strict mode conventions, while keeping your personal Vim keybindings private. What is the correct architectural approach?

A. Option B
B. Option A
C. Option C
D. Option D

正解：A

解説：
Claude Code utilizes a configuration hierarchy. Team-wide standards that should be shared via version control belong in the project- level .claude/CLAUDE.md file. User-level configuration (-/.claude/CLAUDE.md) is for personal preferences and is not shared with the team.

質問 # 45
Which of the following are valid iterative refinement techniques used to achieve progressive improvement in output quality? Choose 2 correct answers.

A. Executing same-session self-reviews to retain reasoning context and confirmation bias.
B. Using the Interview Pattern to have Claude surface design considerations before implementing.
C. Providing specific test cases with example input and expected output to correct edge-case handling failures.
D. Relying on the tool_choice: "any" parameter to automatically fix failed code logic.

正解：B、C

解説：
Valid iterative refinement techniques include providing concrete examples/test cases for edge case correction, and using the Interview Pattern to refine requirements beforehand. Same-session self-review is an anti-pattern, and tool_choice does not magically fix code logic.

質問 # 46
In production, final reports frequently contain claims without proper source attribution.
Investigation shows that while the web search and document analysis agents correctly attach citations to their outputs, the synthesis agent loses track of which sources support which conclusions when combining findings. What's the most effective architectural change?

A. Have the coordinator inject source identifier prefixes into text before each handoff, then parse these prefixes at report generation to reconstruct citations.
B. Maintain complete transcripts of all subagent interactions and add a citation-resolution agent to analyze logs and determine attributions before report generation.
C. Require all subagents to output structured claim-source mappings that the synthesis agent must preserve and merge when combining findings from multiple sources.
D. Add a verification step where the report generator uses semantic similarity matching against original sources to reconstruct which claims came from which documents.

正解：C

解説：
Structured claim-to-source mappings ensure that the synthesis agent can merge findings without losing attribution. By preserving these explicit links through the workflow, the final report can include accurate citations for all claims, maintaining reliability and traceability.

質問 # 47
When orchestrating complex workflows, you must decide between prompt chaining (fixed sequential pipelines) and dynamic adaptive decomposition. In which scenario is dynamic adaptive decomposition the preferred architectural choice?

A. When conducting predictable, multi-aspect code reviews where the sequence of analysis is static.
B. When applying deterministic compliance policies to financial transaction requests.
C. When extracting structured JSON data from standardized invoice templates.
D. When executing an open-ended investigation task where intermediate discoveries dictate the next required steps.

正解：D

解説：
Dynamic adaptive decomposition is ideal for unpredictable, complex tasks where the agent must decide its next steps based on intermediate results (e.g., open-ended investigations). Prompt chaining is better suited for predictable, linear workflows with a static sequence of steps.

質問 # 48
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