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Anthropic CCA-F Exam Syllabus Topics:

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

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                                          100% Pass Quiz CCA-F - High Hit-Rate Test Claude Certified Architect Foundations (CCA-F) Tutorials

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                                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q94-Q99):

                                          NEW QUESTION # 94
                                          When designing a multi-agent research system for a enterprise application, which architectural pattern is recommended to manage parallel research tasks effectively?

                                          Answer: A

                                          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 # 95
                                          When configuring a JSON extraction schema for document categorization where new or unexpected document types might appear, what is the recommended design pattern?

                                          Answer: A

                                          Explanation:
                                          To handle ambiguous or unexpected data during structured extraction, schemas should include an 'other' (or 'unclear') enum value paired with a detail string field. This prevents the model from forcing unexpected data into incorrect predefined categories.


                                          NEW QUESTION # 96
                                          When implementing multi-pass review architectures for automated CI/CD pipelines, why is configuring the exact same Claude SDK session to review its newly generated code considered a major anti-pattern?

                                          Answer: A

                                          Explanation:
                                          Same-session self-review is ineffective because the model retains its original reasoning context and assumptions in the conversation history, creating a blind spot or confirmation bias. Using an independent review instance with fresh context objectively evaluates the code much better.


                                          NEW QUESTION # 97
                                          Which of the following statements accurately describe the functionality and benefits of using the . claude/rules/ directory for configuration? Choose 2 correct answers.

                                          Answer: B,C

                                          Explanation:
                                          The .claude/rules/ directory is utilized to organize topic-specific conventions as a cleaner alternative to a monolithic CLAUDE.md file. Furthermore, files in this directory support YAML frontmatter with 'paths' glob patterns, allowing rules to activate conditionally only when relevant files are being edited, thus saving context token space.


                                          NEW QUESTION # 98
                                          An MCP tool configured for a quicktechie.com application fails to connect to its backend database due to a timeout. Why is it considered a critical anti-pattern to silently return an empty JSON array [] for this failure?

                                          Answer: C

                                          Explanation:
                                          Distinguishing between an access failure (could not connect/check) and a valid empty result (checked successfully but found no data) is critical. Silently returning an empty array for a timeout misleads the agent into concluding the data does not exist, rather than knowing it needs to retry or escalate the access issue.


                                          NEW QUESTION # 99
                                          ......

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