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Last Updated: Aug 24, 2026

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Anthropic CCA-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Agentic Architecture & Orchestration27%- Multi-agent orchestration
  • 1. Parallel task decomposition
    • 2. Coordinator / sub-agent patterns
      - Agentic loops & lifecycle design
      • 1. Stop reason handling and control flow
        • 2. Tool use loop execution (request → tool_use → result → next step)
          Topic 2: Context Management & Reliability15%- System reliability
          • 1. Escalation strategies (fail vs retry vs human)
            • 2. Error propagation handling
              - Context window optimization
              • 1. Managing long conversation degradation
                • 2. "Lost in the middle" mitigation strategies
                  Topic 3: Claude Code Configuration & Workflows20%- CI/CD and workflow integration
                  • 1. Automated pipeline integration
                    • 2. Command vs plan mode usage
                      - Claude Code configuration
                      • 1. Project-level vs user-level configuration
                        • 2. CLAUDE.md hierarchy and scoping
                          Topic 4: Tool Design & MCP Integration18%- Model Context Protocol (MCP)
                          • 1. Tool selection and routing strategies
                            • 2. MCP server integration patterns
                              - Tool interface design
                              • 1. Clear tool descriptions and boundaries
                                • 2. Structured tool input/output schemas
                                  Topic 5: Prompt Engineering & Structured Output20%- Tool-augmented prompting
                                  • 1. Validation and retry loops
                                    • 2. Tool-use driven reasoning patterns
                                      - Instruction design
                                      • 1. Few-shot prompting strategies
                                        • 2. Deterministic output formatting (e.g., JSON)

                                          Anthropic Claude Certified Architect Foundations (CCA-F) 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.
                                          Your team wants Claude to follow a detailed code review checklist (8 items covering API changes, test coverage, documentation, security, etc.) when reviewing pull requests. The team also uses Claude extensively for other tasks: writing new features, debugging production issues, and generating documentation. Currently, developers paste the checklist at the start of each review session. Which approach best addresses this workflow need?

                                          A) Create a /review slash command containing the checklist, invoked when starting reviews.
                                          B) Configure plan mode as the default for code review sessions.
                                          C) Create a dedicated review subagent with the checklist embedded in its configuration.
                                          D) Add the checklist to the project's CLAUDE.md file under a "Code Review" section.


                                          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.
                                          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's the most reliable way to complete this insertion?

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


                                          3. The coordinator provides detailed step-by-step instructions to the web search subagent, specifying exact search queries, source priorities, and date filters. Production monitoring reveals three issues: (1) the subagent reports "insufficient results" rather than trying alternative approaches when pre-specified searches fail, (2) research quality drops for emerging topics that don't match expected patterns, and (3) the subagent rarely surfaces valuable tangential sources.
                                          What's the most effective way to improve subagent adaptability?

                                          A) Add explicit fallback directives to the detailed instructions: "If specified searches yield fewer than N results, attempt alternative query formulations before reporting failure."
                                          B) Remove procedural details entirely, delegating with simple goals like "research X thoroughly" and relying on the subagent's general capabilities.
                                          C) Implement a topic classification step where the coordinator categorizes requests as "well-defined" or "exploratory" and uses different instruction styles for each category.
                                          D) Specify research goals and quality criteria (coverage breadth, source diversity, recency) rather than procedural steps, letting the subagent determine its search strategy.


                                          4. Your MCP server includes archive_file(file_id) and delete_file(file_id) tools. Production logs show the agent calls delete_file when users ask to "remove old backups," but company policy requires archiving backup files. Both tools currently have minimal descriptions: "Archives a file" and
                                          "Deletes a file." Which change most directly improves tool selection for this scenario?

                                          A) Add a confirmation step that requires users to type "CONFIRM DELETE" before delete_file executes.
                                          B) Implement server-side validation that rejects delete_file calls for files tagged as backups, returning an error message suggesting archive_file.
                                          C) Expand tool descriptions to clarify use cases, adding guidance like "Do not use for backup files" to delete_file.
                                          D) Add few-shot examples to the system prompt demonstrating that requests involving "backup" or
                                          "old" should use archive_file.


                                          5. 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 used the agent yesterday to analyze a legacy authentication module, identifying two distinct refactoring approaches: extracting a microservice versus refactoring in-place. Today, they want to explore both approaches in depth - having the agent propose specific code changes for each - before deciding which to implement. What's the most effective way to structure this exploration?

                                          A) Start two fresh sessions, manually providing a summary of yesterday's analysis findings to establish context.
                                          B) Use fork_session to create two branches from yesterday's analysis, exploring one approach in each fork.
                                          C) Resume yesterday's session and explore both approaches sequentially within the same conversation thread.
                                          D) Resume yesterday's session to explore the first approach, then start a new session for the second, manually recreating the original context.


                                          Solutions:

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

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