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Anthropic CCA-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Agentic Architecture & Orchestration27%- Agent design patterns
  • 1. Hub-and-spoke multi-agent systems
    • 2. Agent loops and control flow
      - Anthropic Agent SDK usage
      • 1. Task spawning and tool management
        • 2. Session state and context handling
          Topic 2: Claude Code Configuration & Workflows20%- Configuration files and structure
          • 1. CLAUDE.md and rules system
            • 2. Custom commands and workflows
              - CI/CD and development integration
              • 1. Pipeline automation and review
                • 2. Plan mode vs direct execution
                  Topic 3: Prompt Engineering & Structured Output20%- Structured data generation
                  • 1. JSON schema enforcement
                    • 2. Output validation and reliability
                      - Advanced prompting techniques
                      • 1. Few-shot and chain-of-thought prompting
                        • 2. System prompts and role framing
                          Topic 4: Context Management & Responsible AI15%- Context window optimization
                          • 1. Context retention and summarization
                            • 2. Token management and truncation strategies
                              - Safety and compliance
                              • 1. Refusal handling and risk mitigation
                                • 2. Constitutional AI principles
                                  Topic 5: Tool Design & MCP Integration18%- Model Context Protocol (MCP)
                                  • 1. Tools, resources, and prompts integration
                                    • 2. MCP server and client setup
                                      - Tool definition and best practices
                                      • 1. Error handling and validation
                                        • 2. Tool descriptions and selection logic

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                                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q73-Q78):

                                          NEW QUESTION # 73
                                          During testing, you find that when a customer says "I need a refund for my recent purchase," the agent calls process _refund immediately - but populates the required order_id parameter with a plausible-looking but fabricated value instead of first calling lookup_order to retrieve the actual order ID. The refund call fails because the fabricated ID doesn't exist. Which change directly addresses the root cause of the agent fabricating the order_id value?

                                          Answer: A

                                          Explanation:
                                          The failure originates from an underspecified tool contract. A precise description tells Claude where the required parameter must come from and prevents it from fabricating an identifier.
                                          Server-side validation in D is still valuable as a safeguard, but it detects the error rather than addressing the agent's decision-making. Anthropic identifies detailed tool and parameter descriptions as the most important factor in reliable tool use.


                                          NEW QUESTION # 74
                                          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 is configuring MCP servers in Claude Code. You want to add a shared venue lookup server that all team members should have access to, and you personally want to add an experimental music playlist server that only you are testing. Which configuration approach correctly applies MCP server scopes?

                                          Answer: D

                                          Explanation:
                                          Project-scoped MCP servers are stored in .mcp.json and can be shared through version control with the whole team. Personal local or user-scoped servers are stored in ~/.claude.json and remain private to the individual user.


                                          NEW QUESTION # 75
                                          An automated pipeline is using a PreToolUse hook to block unauthorized file reads by evaluating the requested file path. How does the hook command properly communicate to Claude *why* the action was blocked so the agent can adjust its behavior?

                                          Answer: C

                                          Explanation:
                                          In Claude Code hooks, an exit code of 2 in a PreToolUse hook blocks the tool call. Any message written to standard error (stderr) is fed back directly to Claude as feedback, explaining exactly why the operation was blocked so the model can adapt.


                                          NEW QUESTION # 76
                                          Which of the following scenarios represent appropriate, architecturally sound use cases for Agent SDK hooks? Choose 2 correct answers.

                                          Answer: A,D

                                          Explanation:
                                          Hooks are ideal for programmatic interventions like data normalization CPostToolUse*) and policy enforcement/interception ('PreToolUse'PPostToolUse'). Conversational tone is best handled by prompts, and hooks cannot inherently guarantee the semantic accuracy of an LLM's complex reasoning.


                                          NEW QUESTION # 77
                                          You are creating a reusable skill for an automated code review process. You want the skill to analyze the codebase extensively without polluting the main conversation's context window with its exploratory output. Which frontmatter configuration is required?

                                          Answer: D

                                          Explanation:
                                          The 'context: fork' frontmatter option runs the skill in an isolated sub-agent context. This allows the skill to perform verbose exploration without its intermediate steps and noise polluting the main session's context window.


                                          NEW QUESTION # 78
                                          ......

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