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Anthropic CCA-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: Prompt Engineering & Structured Output20%- Instruction design
          • 1. Deterministic output formatting (e.g., JSON)
            • 2. Few-shot prompting strategies
              - Tool-augmented prompting
              • 1. Validation and retry loops
                • 2. Tool-use driven reasoning patterns
                  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. CLAUDE.md hierarchy and scoping
                        • 2. Project-level vs user-level configuration
                          Topic 4: 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 โ†’ tool_use โ†’ result โ†’ next step)
                                  Topic 5: 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

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                                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q46-Q51):

                                          NEW QUESTION # 46
                                          An organization wants predictable outputs for automated invoice classification. Which API parameter should generally be LOWER?

                                          Answer: B

                                          Explanation:
                                          Lower temperature reduces randomness during token selection, producing more consistent and repeatable outputs. This is especially valuable in structured enterprise workflows where deterministic behavior is preferred over creative variation.


                                          NEW QUESTION # 47
                                          During a tool execution step, your agent's lookup_customer tool fails to connect to the external database due to a timeout. What is the architecturally correct way to handle this error and propagate it back to Claude?

                                          Answer: B

                                          Explanation:
                                          Access failures (e.g., timeouts, database down) must be explicitly distinguished from empty results (e.g., checked database, found zero matches). Returning a structured error with isError, errorCategory, and isRetryable gives the agent the context it needs to make an intelligent recovery decision. Returning an empty array for an access failure is a catastrophic anti-pattern.


                                          NEW QUESTION # 48
                                          When tasked with fixing a bug on line 42 of an existing large TypeScript file, why must the agent choose the Edit tool instead of the Write tool?

                                          Answer: C

                                          Explanation:
                                          The Write tool is intended exclusively for creating new files from scratch because it completely overwrites the entire file. When modifying existing files, the Edit tool must be used to make targeted changes, which safely preserves the unchanged content of the file.


                                          NEW QUESTION # 49
                                          Which of the following scenarios describe valid and effective uses of Agent SDK hooks (such as PreToolUse and PostToolUse)? Choose 2 correct answers.

                                          Answer: C,D

                                          Explanation:
                                          Hooks are designed for programmatic intervention during the tool lifecycle. Valid uses include PostToolUse hooks for normalizing data returned by tools, and PreToolUse hooks for intercepting and blocking policy-violating actions deterministically before they execute. Hooks do not guarantee semantic accuracy or inherently manage subagent concurrency limits.


                                          NEW QUESTION # 50
                                          Claude Code provides several built-in tools for codebase exploration and modification. If an agent needs to fix a bug on line 42 of an existing, lengthy TypeScript file, which tool should be utilized to ensure unchanged content is safely preserved?

                                          Answer: C

                                          Explanation:
                                          The Edit tool is purpose-built for making targeted modifications to existing files by finding unique anchor text and replacing it, preserving the rest of the file. Write is an anti-pattern for existing files because it replaces the entire file. Using Bash when a native tool exists is also an anti-pattern.


                                          NEW QUESTION # 51
                                          ......

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