CCA-F New Study Notes & Simulated CCA-F Test

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Anthropic CCA-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Tool Design & MCP Integration18%- Model Context Protocol (MCP)
  • 1. MCP client/server integration patterns
    • 2. Tool schema design
      Topic 2: Prompt Engineering & Structured Output20%- Reliable structured generation
      • 1. Prompt patterns for agents
        • 2. Schema-guided outputs
          Topic 3: Agentic Architecture & Orchestration27%- Agentic loop design and execution lifecycle
          • 1. Multi-agent coordination and delegation patterns
            • 2. Tool use decision flow (tool_use vs end_turn)
              - System orchestration patterns
              • 1. Hub-and-spoke agent systems
                • 2. Task decomposition strategies
                  Topic 4: Context Management & Reliability15%- Long-context optimization
                  • 1. Context window management
                    • 2. Reliability and retry strategies
                      Topic 5: Claude Code Workflows & Configuration20%- Claude Code operational patterns
                      • 1. CI/CD and workflow integration
                        • 2. Plan mode vs execution mode

                          >> CCA-F New Study Notes <<

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                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q12-Q17):

                          NEW QUESTION # 12
                          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.
                          You're implementing a new payment processing module that must follow your project's established patterns for database transactions, error handling, and audit logging. You've identified three existing modules that exemplify these patterns: db_utils.py, error_handlers.py, and audit_logger.py. This is a one-off integration task - these patterns are well-documented in your team wiki and don't need additional project-level documentation. What's the most effective approach?

                          Answer: D

                          Explanation:
                          This is a one-off task, so directly attaching the relevant files gives Claude concrete, authoritative examples without permanently expanding CLAUDE.md. Claude Code supports @ references specifically for bringing files or directories into the current task's context.


                          NEW QUESTION # 13
                          During data extraction, a semantic validation check fails because the extracted line items do not sum to the total invoice amount. What is the recommended best practice for implementing the validation-retry loop?

                          Answer: C

                          Explanation:
                          Generic retry messages give the model no signal for what to fix. The recommended practice is to use specific error feedback (e.g., 'Line items total $450 doesn't match the stated subtotal $500'). This explicit feedback gives the model a clear correction target during the retry loop.


                          NEW QUESTION # 14
                          When designing JSON schemas for structured data extraction, which practices help prevent hallucinations and misclassifications?
                          Choose 2 correct answers.

                          Answer: B,C

                          Explanation:
                          Schema design best practices include using nullable fields for information that may not exist in source documents, and using an 'other' plus detail string pattern for extensible categories. These strategies give the model a structured way to handle missing or unexpected data without fabricating values.


                          NEW QUESTION # 15
                          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?

                          Answer: B

                          Explanation:
                          Clear tool descriptions directly guide the agent's choice between similar tools. Adding use-case guidance that backup files should not be deleted and should be archived helps the agent map
                          "remove old backups" to the correct archive operation before execution.


                          NEW QUESTION # 16
                          You need to create a reusable behavior for complex refactoring. To prevent the exploration noise from polluting the main session's context window, which configuration should you use in your SKILL. md?

                          Answer: C

                          Explanation:
                          The 'context: fork' frontmatter option runs the skill in an isolated sub-agent context. This allows it to perform verbose exploration without polluting the main conversation session. Regular commands run in the main context.


                          NEW QUESTION # 17
                          ......

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