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Last Updated: Aug 08, 2026

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Anthropic CCAR-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Context Management & Reliability15%- Context handling
  • 1. Context window management
    • 2. Cost and performance optimization
      • 3. Reliability and evaluation
        • 4. Memory strategies
          Topic 2: Claude Code Configuration & Workflows20%- Claude Code
          • 1. Code generation and automation
            • 2. Development workflows
              • 3. Configuration and project setup
                • 4. Agent skills
                  Topic 3: Agentic Architecture & Orchestration27%- Agentic architecture patterns
                  • 1. Agent orchestration
                    • 2. Single-agent and multi-agent architectures
                      • 3. Workflow design
                        • 4. Planning and execution strategies
                          Topic 4: Prompt Engineering & Structured Output20%- Prompt design
                          • 1. Output validation
                            • 2. Structured output and JSON schemas
                              • 3. Prompt engineering techniques
                                • 4. Few-shot prompting
                                  Topic 5: 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

                                          Anthropic Claude Certified Architect - Foundations Sample Questions:

                                          1. You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
                                          After the web-search and document-analysis subagents complete their tasks, the coordinator needs to spawn the synthesis subagent to synthesize the findings.
                                          What is the correct approach for providing the synthesis subagent with the information it needs?

                                          A) Provide the subagent with tool definitions that allow it to request outputs from other subagents through callbacks.
                                          B) Pass reference identifiers and configure the subagent with read access to a shared memory store where the other subagents deposited their results.
                                          C) Include the complete findings from both subagents directly in the synthesis subagent's prompt.
                                          D) Spawn the subagent with only a brief task description, relying on automatic context inheritance from the coordinator.


                                          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, and Glob-and integrates with Model Context Protocol (MCP) servers.
                                          Your agent needs to insert a new helper function into the middle of a 150-line utility module, between two existing functions. The Edit tool fails because its old_string parameter cannot find unique text to match-the file has repetitive docstrings, variable names, and structural patterns.
                                          What is the most reliable way to complete this insertion?

                                          A) Use Edit with an extremely long old_string capturing more than 30 lines of context to guarantee uniqueness.
                                          B) Use Read to load the file, add the function at the appropriate location, and then use Write to overwrite the file with the updated content.
                                          C) Use Bash to append the function definition to the end of the file using heredoc syntax.
                                          D) Use Edit's replace_all parameter to target a common pattern and embed the new function in the replacement text.


                                          3. 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.
                                          During a billing dispute resolution, your agent successfully retrieves customer info via get_customer and order details via lookup_order , but when attempting to call process_refund , the tool returns a timeout error.
                                          The agent has enough information to explain the charges and verify refund eligibility, but cannot actually process the refund due to the backend failure.
                                          What approach best balances first-contact resolution with appropriate error handling?

                                          A) Escalate immediately to a human agent since the refund action cannot be completed.
                                          B) Explain the billing, confirm refund eligibility, acknowledge the system issue preventing immediate processing, and offer escalation or retry later.
                                          C) Confirm the refund will be processed and close the conversation, since the system has all necessary information to complete it automatically.
                                          D) Implement automatic retries with exponential backoff for process_refund , keeping the conversation open until the refund is successfully processed.


                                          4. After the web-search agent finds 25 sources containing 120,000 tokens of raw content, the document-analysis agent extracts 15,000 tokens of key insights, and the synthesis agent produces a coherent 3,000-token narrative draft, the coordinator must pass context to the report-generation agent for the final output with proper source citations. What context-passing strategy provides the best balance of completeness and efficiency?

                                          A) Pass a condensed summary of all prior stages that preserves the main findings and attributes them to sources by name only.
                                          B) Pass the complete accumulated context from all prior agents.
                                          C) Pass only the synthesis draft and use a separate post-processing pipeline to match claims to sources and insert citations after report generation.
                                          D) Pass the synthesis draft together with a structured source index that maps key claims to their source URLs and relevant excerpts.


                                          5. Your automated review CI jobs take 18 seconds to initialize before Claude begins analyzing code. Profiling reveals that the delay comes from automatically discovering hooks, MCP servers, plugins, skills, and multiple nested CLAUDE.md files throughout your monorepo. You need to reduce startup time while ensuring that reviews still enforce your team's coding standards, which are documented in the root-level CLAUDE.md file.
                                          What is the most effective approach?

                                          A) Run in --bare mode and pass --append-system-prompt-file ./CLAUDE.md to explicitly load your project standards while skipping all automatic discovery.
                                          B) Keep the default initialization and add --exclude-dynamic-system-prompt-sections to reduce per- machine prompt variability and improve prompt-cache hit rates across runners.
                                          C) Replace the default prompt entirely by using --system-prompt-file ./CLAUDE.md, which bypasses default prompt assembly and loads only your project rules.
                                          D) Run in --bare mode and specify all review criteria directly in the -p prompt argument for every CI invocation, without referencing external files.


                                          Solutions:

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

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