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Anthropic CCAR-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering & Structured Output | 20% | - Validation, parsing and retry loop strategies - System prompt design and persona alignment - Explicit criteria definition and few-shot prompting - JSON schema design and structured output enforcement |
| Topic 2: Tool Design & MCP Integration | 18% | - Error handling and tool response formatting - Tool schema design and interface boundaries - Tool distribution and permission controls - Model Context Protocol (MCP) architecture and JSON-RPC 2.0 - MCP tool, resource and prompt implementation |
| Topic 3: Context Management & Reliability | 15% | - Context pruning and summarization strategies - Context window optimization and prioritization - Token budget management and cost control - Idempotency, consistency and failure resilience |
| Topic 4: Claude Code Configuration & Workflows | 20% | - Hooks vs advisory instructions - Custom slash commands and plan mode vs direct execution - CLAUDE.md hierarchy, precedence and @import rules - CI/CD integration and non-interactive mode parameters - Path-specific rules and .claude/rules/ configuration |
| Topic 5: Agentic Architecture & Orchestration | 27% | - Multi-agent patterns: coordinator-subagent and hub-and-spoke - Error recovery, guardrails and safety patterns - Session state management and workflow enforcement - Task decomposition and dynamic subagent selection - Agentic loop design and stop_reason handling |
Anthropic Claude Certified Architect – Foundations Sample Questions:
1. 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.
You're implementing a new payment processing module that must follow your project's established patterns for database transactions, error handling, and audit logging. You've identified three existing modules that exemplify these patterns: db_utils.py , error_handlers.py , and audit_logger.py . This is a one-off integration task-these patterns are well-documented in your team wiki and don't need additional project-level documentation.
What's the most effective approach?
A) Add documentation of each pattern to your CLAUDE.md file, establishing them as project conventions that Claude will apply automatically.
B) Ask Claude to explore your codebase to find and understand the transaction, error handling, and logging patterns before generating the new module.
C) Describe the patterns from the three modules in natural language in your prompt, explaining the transaction handling approach, error format, and logging conventions Claude should follow.
D) Use @ references to include the three modules directly in your prompt, giving Claude concrete code examples of the patterns to follow.
2. 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 extraction pipeline validates outputs against JSON schemas, but you need to implement human review given limited reviewer capacity (they can handle approximately 5% of total extraction volume).
What's the most effective basis for selecting which extractions to route for human review?
A) Route extractions for review only when downstream systems report data quality issues or processing failures.
B) Route extractions where the model indicates low confidence or where source documents contain ambiguous or contradictory information.
C) Route extractions containing specific high-priority entity types (e.g., financial figures, dates) for human review, regardless of extraction confidence.
D) Randomly sample 5% of extractions for review.
3. 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 extraction system implements automatic retries when validation fails. On each retry, the specific validation error is appended to the prompt. This retry-with-error-feedback approach resolves most failures within 2-3 attempts.
For which failure pattern would additional retries be LEAST effective?
A) The model extracts citation counts as locale-formatted strings ("1,234") when the schema requires integers.
B) The model extracts "et al." for co-authors when the full list exists only in an external document not in the input.
C) The model extracts dates as ISO 8601 datetime strings ("2023-03-15T00:00:00Z") when the schema requires only the date portion (YYYY-MM-DD).
D) The model extracts keywords as a nested object organized by category when the schema requires a flat array of strings.
4. 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.
Your agent has analyzed a complex service module-reading 23 source files, tracing request flows, and identifying error handling patterns. A developer wants to compare two testing strategies before committing to one: end-to-end tests with mocked external services vs. snapshot tests capturing expected outputs. They need to independently develop both approaches to evaluate trade-offs.
How should you manage the sessions?
A) Continue in the original session, developing end-to-end tests first, then snapshot tests sequentially.
B) Start two fresh sessions, having each re-read the relevant source files before beginning.
C) Resume the analysis session with fork_session enabled, creating a separate branch for each testing strategy.
D) Export the analysis session's key findings to a file, then create two new sessions that reference this file.
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.
A security audit requires updating your authentication library from v2 to v3. The migration guide documents breaking changes: authenticate() now returns a Promise instead of accepting a callback, the User type has restructured fields, and three deprecated methods were removed. Grep shows the library is imported in 45 files across several modules.
What's the most effective approach?
A) Update the dependency version, run the test suite, and use Claude Code to fix each failure as it appears.
B) Enter plan mode to explore library usage across modules, map affected code paths, then create a migration strategy before implementing.
C) Paste the migration guide's breaking changes into your prompt and use direct execution to update all usages across the 45 files.
D) Create a custom slash command encapsulating the migration transformations, then execute it against each file without prior codebase exploration.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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