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Anthropic CCAR-F Exam Syllabus Topics:

SectionWeightObjectives
Context Management & Reliability15%- Context handling
  • 1. Reliability and evaluation
    • 2. Context window management
      • 3. Cost and performance optimization
        • 4. Memory strategies
          Tool Design & MCP Integration18%- Tool integration
          • 1. Tool selection and safety
            • 2. Tool interface design
              • 3. Model Context Protocol (MCP)
                • 4. Resource and server integration
                  Prompt Engineering & Structured Output20%- Prompt design
                  • 1. Few-shot prompting
                    • 2. Output validation
                      • 3. Structured output and JSON schemas
                        • 4. Prompt engineering techniques
                          Agentic Architecture & Orchestration27%- Agentic architecture patterns
                          • 1. Workflow design
                            • 2. Single-agent and multi-agent architectures
                              • 3. Agent orchestration
                                • 4. Planning and execution strategies
                                  Claude Code Configuration & Workflows20%- Claude Code
                                  • 1. Configuration and project setup
                                    • 2. Agent skills
                                      • 3. Development workflows
                                        • 4. Code generation and automation

                                          Anthropic Claude Certified Architect – Foundations Sample Questions:

                                          1. You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools (get_customer, lookup_order, process_refund, escalate_to_human). Your target is 80%+ first-contact resolution while knowing when to escalate.
                                          A customer returns 4 hours after their initial session about the same billing dispute. The previous 32-turn session contains lookup_order results showing "Status: PENDING, Expected resolution: 24-48 hours." In testing, you observe that when resuming sessions with stale tool results, the agent often references the outdated data in responses (e.g., "I see your refund is still being processed") even after subsequent fresh tool calls return different information.
                                          What approach most reliably handles returning customers?

                                          A) Resume with full history but filter out previous tool_result messages before resuming, keeping only the human/assistant turns so the agent must re-fetch needed data.
                                          B) Resume with full history and configure the agent to automatically re-call all previously used tools at session start to ensure data freshness.
                                          C) Resume with full history and add a system prompt instruction telling the agent to always prefer the most recent tool results when multiple calls to the same tool exist in context.
                                          D) Start a new session, inject a structured summary of the previous interaction (issue type, actions taken, resolution status), then make fresh tool calls before engaging.


                                          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.
                                          An engineer asks your agent to identify untested code paths in a legacy payment processing module spanning
                                          45 files. After reading the first 8 source files, the agent's responses are becoming noticeably less accurate-it' s forgetting previously discussed code patterns and hasn't yet located all test files or traced critical payment flows.
                                          What's the most effective approach to complete this investigation?

                                          A) Spawn subagents to investigate specific questions (e.g., "find all test files for payment processing,"
                                          "trace refund flow dependencies") while the main agent coordinates findings and preserves high-level understanding.
                                          B) Switch to using Grep to search for specific function names instead of reading full files, reducing the content loaded into context for remaining exploration.
                                          C) Document all current findings in a summary report, clear context completely, then use that report as the sole reference for continuing the investigation.
                                          D) Clear context with /clear , then selectively re-read only the most critical files discovered so far, writing key findings to a scratchpad file that persists between context resets.


                                          3. 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's CLAUDE.md includes a rule: "Use 4-space indentation and always run Prettier formatting." Despite this, code reviews reveal that roughly 30% of files Claude Code generates use inconsistent formatting-sometimes 2-space indentation, sometimes missing trailing commas. Adding emphasis ("IMPORTANT: You MUST use Prettier formatting") reduces violations to about 15%, but doesn't eliminate them.
                                          What is the most effective way to ensure all generated code is consistently formatted?

                                          A) Extract the formatting rules into a dedicated skill that Claude loads automatically when generating code, with more detailed examples of correct formatting.
                                          B) Configure a PostToolUse hook with an Edit|Write matcher that automatically runs Prettier on each file Claude modifies.
                                          C) Split the formatting rules into path-scoped .claude/rules/ files that load when Claude works on matching file types.
                                          D) Add a Stop hook with a prompt-based check that evaluates whether generated code follows formatting standards and prompts Claude to fix violations.


                                          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.
                                          You've asked Claude Code to build a PDF report generation feature. The initial implementation queries the database correctly, but the output has formatting issues: table columns are too narrow causing content truncation, dates display without proper formatting, and page break handling is incorrect. You've noticed these issues interact-changing column widths affects how dates render, and page breaks depend on content height.
                                          What's the most effective approach for iterating toward a working solution?

                                          A) Address the column width issue first with specific measurements, verify it works, then fix date formatting within the corrected columns, then adjust page breaks-testing after each change.
                                          B) Start fresh with a detailed prompt specifying all formatting requirements upfront.
                                          C) Show Claude an example of a correctly formatted report and ask it to match that output, rather than listing the specific technical issues.
                                          D) Provide all three issues in a single detailed message with exact specifications for each, allowing Claude to address them together in one update.


                                          5. 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 "et al." for co-authors when the full list exists only in an external document not in the input.
                                          B) The model extracts keywords as a nested object organized by category when the schema requires a flat array of strings.
                                          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 citation counts as locale-formatted strings ("1,234") when the schema requires integers.


                                          Solutions:

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

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