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Anthropic CCAR-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Claude Code Configuration & Workflows | 20% | - Integrating Claude Code into development processes - Developer productivity workflows - Claude Code usage and configuration |
| Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP) concepts and integration - Tool safety, reliability, and usability - Designing effective tools for Claude applications |
| Agentic Architecture & Orchestration | 27% | - Agent coordination and orchestration patterns - Designing agentic systems and workflows - Selecting appropriate Claude architectures |
| Context Management & Reliability | 15% | - Managing context windows and information flow - Production deployment considerations - Evaluation and reliability strategies |
| Prompt Engineering & Structured Output | 20% | - Structured output generation and validation - Prompt design strategies - Improving Claude response quality and consistency |
Anthropic Claude Certified Architect - Foundations Sample Questions:
Question 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.
Your monorepo contains shared coding standards in /docs/standards/ : security-rules.md (for services handling user data), testing-petterns.md (for all packages), and api-conventions.md (for API-facing services). Your 15 packages are organized by feature domain ( /packages/auth/,
/packages/billing/, /packages/notifications/ , etc.) without naming conventions indicating which handle user data or expose APIs. Package maintainers are expected to configure their own local development settings, as they understand their package's domain requirements. Currently, all package CLAUDE.md files duplicate all three standards, applying irrelevant guidance. What's the most effective approach?
A. Put all standards in the root CLAUDE.md with override instructions like "ignore security-rules.md when working in packages that don't handle user data."
B. Create .claude/rules/ files for each standard with YAML frontmatter paths listing every package directory where that standard should apply.
C. Use @imports in each package's CLAUDE.md to reference only the specific standard files relevant to that package, based on the maintainer's domain knowledge.
D. Create a shared-stendards.md that uses @imports to combine all three standards, then have each package's CLAUDE.md import that combined file.
Question 2
Users report that final reports sometimes lack depth on specific subtopics. Investigation shows that the document-analysis agent frequently identifies evidence gaps--for example, noting that
"the retrieved sources discuss API authentication but lack details about token-refresh patterns." Under the current strict pipeline, this insight is not actionable because searching has already finished. What is the most effective architectural change?
A. Have the coordinator look for general gap indicators in the analysis output and run additional searches without repeating the analysis stage.
B. Have the synthesis agent assign confidence scores to each report section and flag insufficiently supported sections for manual review.
C. Require the analysis agent to return specific evidence gaps to the coordinator, which launches targeted searches and invokes analysis again until the defined coverage criteria are satisfied.
D. Add a research-planning agent before the initial search phase to decompose every topic into detailed subquestions.
Question 3
A developer wants Claude to explain every reasoning step internally before answering. Why might this request be inappropriate?
A. JSON cannot contain reasoning.
B. Temperature prevents explanations.
C. Claude requires GPU acceleration.
D. Internal reasoning should not be relied upon as an application feature.
Question 4
You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
Your automated review generates many findings per pull request, but developer feedback shows that approximately half are dismissed as "not worth addressing." Analysis reveals that these findings are often technically accurate but involve minor style preferences or patterns that are acceptable in the project.
Before adding infrastructure complexity, what prompt-design change would most effectively reduce dismissals while maintaining detection of genuine issues?
A. Add a secondary classification model that filters findings according to predicted developer acceptance.
B. Add the instruction: "Only report findings you are highly confident are genuine problems."
C. Define explicit reporting criteria that distinguish reportable bugs and security issues from minor style preferences and accepted local patterns.
D. Ask Claude to rate each finding's confidence from 1 to 10 and include only findings rated 8 or higher.
Question 5
A company is building its first production Claude application. Which principle should guide the initial deployment?
A. Start with a simple design and iteratively evaluate improvements.
B. Maximize prompt complexity immediately.
C. Disable monitoring to reduce costs.
D. Optimize only for response speed.
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: D | Question 4 Answer: C | Question 5 Answer: A |






