Anthropic : CCAR-F Questions & Answers
Last Updated: Sep 07, 2026
No. of Questions: 191 Questions & Answers with Testing Engine
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Anthropic CCAR-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering & Structured Output | 20% | - Prompt design
|
| Agentic Architecture & Orchestration | 27% | - Agentic architecture patterns
|
| Claude Code Configuration & Workflows | 20% | - Claude Code
|
| Context Management & Reliability | 15% | - Context handling
|
| Tool Design & MCP Integration | 18% | - Tool integration
|
Anthropic Claude Certified Architect - Foundations Sample Questions:
Your get_portfolio_value tool returns the total value of a user's investment portfolio. You're deciding between returning a structured JSON object with explicit fields versus returning the information as a formatted text string. What is the primary advantage of using structured output with defined fields?
- A. Structured JSON is processed deterministically by the model, significantly improving accuracy when extracting values.
- B. Structured JSON consumes significantly fewer tokens than natural language, substantially reducing API costs.
- C. The agent can reliably extract specific values without parsing free-form text, reducing errors in subsequent operations.
- D. JSON schemas automatically validate that the underlying API returned correct data before the agent processes it.
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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 has been operating with 100% human review for 3 months. Analysis shows that extractions with model confidence 90% have 97% accuracy overall. To reduce reviewer workload, you plan to automate high-confidence extractions.
Before deploying, what validation step is most critical?
- A. Analyze accuracy by document type and field to verify high-confidence extractions perform consistently across all segments, not just in aggregate.
- B. Run a two-week pilot routing 25% of high-confidence extractions directly to downstream systems and monitor error reports.
- C. Verify that 97% accuracy meets requirements for all downstream systems that consume the extracted data.
- D. Compare accuracy at different confidence thresholds (85%, 90%, 95%) to find the optimal cutoff that maximizes automation while minimizing errors.
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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 complex graph traversal algorithm with specific performance requirements and edge cases to handle (disconnected nodes, cycles, weighted edges). You want to structure your workflow for efficient iterative refinement with Claude. What approach will most effectively enable progressive improvement across multiple iterations?
- A. Provide Claude with a reference implementation from documentation, then ask it to rewrite the code to match your codebase style and add the required edge case handling, comparing outputs against the reference.
- B. Write a test suite covering expected behavior, edge cases, and performance requirements before implementation. Ask Claude to write code that passes the tests, then iterate by sharing test failures with each refinement request.
- C. Have Claude extensively research the algorithm and create a detailed implementation plan using extended thinking, then implement the complete solution based on that plan.
- D. Provide Claude with a detailed natural language specification of the algorithm, including all requirements and edge cases. Review each output manually and provide descriptive feedback on what behavior needs to change.
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Which prompt revision is MOST likely to improve output quality?
- A. Use only uppercase letters.
- B. "Help me."
- C. Include objective, context, constraints, and expected format.
- D. "Summarize this."
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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. Both requests benefit equally
- D. Request A, the function rename task
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