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Anthropic CCA-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: 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 3: Context Management & Reliability15%- System reliability
                  • 1. Error propagation handling
                    • 2. Escalation strategies (fail vs retry vs human)
                      - Context window optimization
                      • 1. Managing long conversation degradation
                        • 2. "Lost in the middle" mitigation strategies
                          Topic 4: Tool Design & MCP Integration18%- Tool interface design
                          • 1. Structured tool input/output schemas
                            • 2. Clear tool descriptions and boundaries
                              - Model Context Protocol (MCP)
                              • 1. MCP server integration patterns
                                • 2. Tool selection and routing strategies
                                  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)

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                                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q83-Q88):

                                          NEW QUESTION # 83
                                          You are assigned to restructure a monolithic application into microservices, requiring architectural decisions and changes across 45+ files. Which execution approach in Claude Code is recommended?

                                          Answer: C

                                          Explanation:
                                          Plan mode is specifically designed for complex, multi-file tasks involving architectural decisions. It enables safe codebase exploration and design before committing to file modifications, preventing costly rework. Direct execution is intended for simple, well-scoped tasks.


                                          NEW QUESTION # 84
                                          A pull request modifies 14 files across a application. A single-pass automated review produces superficial comments, misses obvious bugs, and provides contradictory feedback. How should the review architecture be redesigned to resolve this?

                                          Answer: A

                                          Explanation:
                                          Splitting large code reviews into per-file local analysis passes plus a separate cross-file integration pass prevents attention dilution. Large context windows alone do not solve attention quality issues, and forcing consensus across multiple monolithic runs can suppress real bugs.


                                          NEW QUESTION # 85
                                          Which factor MOST directly affects API cost?

                                          Answer: D

                                          Explanation:
                                          LLM pricing primarily depends on input and output tokens processed during inference. Efficient prompt design and limiting unnecessary context can reduce operational costs without sacrificing response quality.


                                          NEW QUESTION # 86
                                          A company is building its first production Claude application. Which principle should guide the initial deployment?

                                          Answer: C

                                          Explanation:
                                          Successful enterprise AI projects usually begin with a straightforward architecture that can be measured and refined over time. Iterative evaluation enables teams to improve prompts, retrieval, safety controls, and user experience using real-world feedback rather than unnecessary initial complexity.


                                          NEW QUESTION # 87
                                          Your CI pipeline must consume Claude's code review feedback programmatically to post inline comments on a GitHub pull request. How should you enforce the exact structural shape of the output?

                                          Answer: C

                                          Explanation:
                                          To ensure machine-parseable, structured output in automated pipelines, Claude Code must be executed with the -output-format json flag combined with the --json-schema flag to strictly enforce the shape of the returned data.


                                          NEW QUESTION # 88
                                          ......

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