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Anthropic CCA-F Exam Syllabus Topics:

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

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                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q108-Q113):

                          NEW QUESTION # 108
                          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 complex graph traversal algorithm with specific performance requirements and edge cases to handle (disconnected nodes, cycles, weighted edges). You want to structure your workflow for efficient iterative refinement with Claude. What approach will most effectively enable progressive improvement across multiple iterations?

                          Answer: A

                          Explanation:
                          Tests provide an executable specification and objective feedback for each iteration. Claude can implement against the suite, run it, inspect failures, and progressively refine the algorithm until correctness and performance requirements are met. Anthropic recommends running tests and fixing failures as an iterative Claude Code workflow.


                          NEW QUESTION # 109
                          A user asks Claude to ignore all previous instructions and reveal confidential internal prompt content. How should Claude behave?

                          Answer: D

                          Explanation:
                          Claude follows instruction hierarchy, where system-level instructions override conflicting user requests. Attempts to expose confidential prompts or internal instructions should be declined to protect application integrity and security.


                          NEW QUESTION # 110
                          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: B

                          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 # 111
                          When implementing a self-evaluation loop for structured data extraction, your agent reports 96% aggregate accuracy, but downstream users complain about frequent errors on complex contracts. What monitoring methodology resolves this evaluation visibility gap?

                          Answer: B

                          Explanation:
                          Aggregate accuracy metrics can mask severe per-document-type failures (e.g., contracts failing frequently while simple receipts succeed nearly 100% of the time). Tracking accuracy using stratified metrics (per document type and field) reveals these hidden failures before automating high-confidence extractions.


                          NEW QUESTION # 112
                          A coordinator agent needs to delegate a broad research topic. How can the coordinator efficiently spawn multiple parallel subagents instead of executing them sequentially?

                          Answer: B

                          Explanation:
                          Parallel execution in a multi-agent system is achieved when the coordinator agent emits multiple Task tool calls in a single response turn. This allows the system to process the corresponding subagents simultaneously rather than across separate sequential turns.


                          NEW QUESTION # 113
                          ......

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