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Anthropic CCA-F Exam Syllabus Topics:

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

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                                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q88-Q93):

                                          NEW QUESTION # 88
                                          When designing a multi-agent research system for a enterprise application, which architectural pattern is recommended to manage parallel research tasks effectively?

                                          Answer: D

                                          Explanation:
                                          The hub-and-spoke architecture is the correct approach for multi-agent systems. A coordinator agent delegates specialized tasks to subagents. Each subagent operates in an isolated context, preventing context pollution and allowing for parallel execution. Flat architectures sharing full conversation history lead to context exhaustion and token waste.


                                          NEW QUESTION # 89
                                          After updating a tool description to perfectly define its purpose and boundaries, Claude still occasionally misroutes specific requests to an older, less appropriate tool. What hidden factor is most likely causing this unintended tool association?

                                          Answer: C

                                          Explanation:
                                          System prompts exert strong influence over model behavior. Keyword-sensitive instructions within the system prompt can create unintended tool associations that overpower well-written tool descriptions. Reviewing and adjusting system prompt wording is necessary when tools are inexplicably misrouted despite clear descriptions.


                                          NEW QUESTION # 90
                                          What is the required architectural pattern for passing context from a coordinator to a newly spawned subagent?

                                          Answer: B

                                          Explanation:
                                          Subagents do not automatically inherit parent context or share memory between invocations. To prevent context pollution and token waste, you must explicitly provide only the context relevant to each subagent's specific task.


                                          NEW QUESTION # 91
                                          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?

                                          Answer: D

                                          Explanation:
                                          A reusable command is ideal for a checklist or procedure that developers invoke only during code reviews. It avoids repeatedly pasting the checklist and prevents review-specific instructions from consuming context during unrelated tasks.


                                          NEW QUESTION # 92
                                          Which statements correctly describe the relationship between JSON schemas and validation loops in structured extraction? Choose 2 correct answers.

                                          Answer: B,C

                                          Explanation:
                                          Tool use guarantees structural compliance (eliminating JSON syntax errors), but it does not guarantee semantic correctness. Therefore, validation loops are still absolutely necessary to catch semantic errors like bad mathematical summations or values placed in the wrong fields.


                                          NEW QUESTION # 93
                                          ......

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