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Anthropic CCAR-F Exam Syllabus Topics:

SectionWeightObjectives
Prompt Engineering & Structured Output20%- Improving Claude response quality and consistency
- Prompt design strategies
- Structured output generation and validation
Tool Design & MCP Integration18%- Designing effective tools for Claude applications
- Model Context Protocol (MCP) concepts and integration
- Tool safety, reliability, and usability
Context Management & Reliability15%- Production deployment considerations
- Evaluation and reliability strategies
- Managing context windows and information flow
Agentic Architecture & Orchestration27%- Agent coordination and orchestration patterns
- Designing agentic systems and workflows
- Selecting appropriate Claude architectures
Claude Code Configuration & Workflows20%- Claude Code usage and configuration
- Integrating Claude Code into development processes
- Developer productivity workflows

Anthropic Claude Certified Architect – Foundations Sample Questions:

1. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
Your system extracts event metadata (date, location, organizer, attendee_count) from news articles using a JSON schema with all nullable fields. During evaluation, you observe the model frequently generates plausible but incorrect values for fields not mentioned in the article-for example, outputting "500" for attendee_count when the source contains no attendance information.
What's the most effective way to reduce these false extractions?

A) Add prompt instructions to return null for any field where information is not directly stated in the source.
B) Upgrade to a more capable model tier with improved instruction-following to reduce hallucination tendencies.
C) Add a post-processing step using a second LLM call to verify each extracted value exists in the source document.
D) Make all schema fields required (non-nullable) with strict validation rules to ensure the model only outputs verifiable data.


2. 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.
You've configured your Claude agent with three MCP servers: one for git operations, one for Jira ticket management, and one for documentation search.
When a user asks the agent to "create a branch for JIRA-123 and add documentation links to the ticket," how does the agent access tools across these servers?

A) You must specify which MCP server to use for each turn, and the agent can only access one server's tools at a time.
B) The agent queries each server sequentially to determine which handles each tool, routing calls based on tool name prefixes.
C) The agent automatically selects the most relevant server based on the request and loads only that server' s tools.
D) Tools from all configured MCP servers are discovered at connection time and available simultaneously to the agent.


3. 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.
A developer asks the agent to investigate why a specific API endpoint intermittently returns 500 errors. The codebase has 200+ files and the developer doesn't know which components are involved. The agent must trace the error through routing, middleware, business logic, and database layers.
What task decomposition approach would be most effective?

A) Have the agent dynamically generate investigation subtasks based on what it discovers at each step, adapting its exploration plan as new information about the error path emerges.
B) Define a fixed sequence of investigation steps upfront-grep for error patterns, then read error handlers, then check database queries, then examine middleware-executing each step regardless of intermediate findings.
C) Have the agent first create a comprehensive plan mapping all code paths through the endpoint before beginning any file exploration or code reading.
D) Run parallel worker agents that simultaneously investigate all four layers, then synthesize their findings to identify where the error originates.


4. 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 wants Claude to follow a detailed code review checklist (8 items covering API changes, test coverage, documentation, security, etc.) when reviewing pull requests. The team also uses Claude extensively for other tasks: writing new features, debugging production issues, and generating documentation. Currently, developers paste the checklist at the start of each review session.
Which approach best addresses this workflow need?

A) Create a dedicated review subagent with the checklist embedded in its configuration.
B) Create a /review slash command containing the checklist, invoked when starting reviews.
C) Configure plan mode as the default for code review sessions.
D) Add the checklist to the project's CLAUDE.md file under a "Code Review" section.


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


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: B
Question # 5
Answer: C

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