Examcollection CCA-F Questions Answers | CCA-F Latest Exam Pattern

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Anthropic CCA-F Exam Syllabus Topics:

SectionWeightObjectives
Tool Design & MCP Integration18%- Model Context Protocol (MCP)
  • 1. Tool schema design
    • 2. MCP client/server integration patterns
      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
              Context Management & Reliability15%- Long-context optimization
              • 1. Context window management
                • 2. Reliability and retry strategies
                  Prompt Engineering & Structured Output20%- Reliable structured generation
                  • 1. Prompt patterns for agents
                    • 2. Schema-guided outputs
                      Claude Code Workflows & Configuration20%- Claude Code operational patterns
                      • 1. Plan mode vs execution mode
                        • 2. CI/CD and workflow integration

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                          CCA-F Latest Exam Pattern - CCA-F 100% Correct Answers

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                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q70-Q75):

                          NEW QUESTION # 70
                          When applying few-shot prompting to improve output consistency for a task with ambiguous boundaries, what is the optimal number of examples to provide?

                          Answer: D

                          Explanation:
                          The golden rule of few-shot prompting is to provide 2-4 examples. Fewer than 2 does not firmly establish a pattern, while providing more than 6 examples generally bloats the prompt without adding proportional benefit.


                          NEW QUESTION # 71
                          Which of the following patterns represent best practices for implementing handoffs and enforcement in multi-step workflows? Choose 2 correct answers.

                          Answer: B,D

                          Explanation:
                          Structured handoff summaries for human escalations and programmatic prerequisites (gates) to block downstream tools are recommended best practices. Relying on prompt-based enforcement for guaranteed tool sequencing and using self-reported confidence scores for escalation are unreliable anti-patterns.


                          NEW QUESTION # 72
                          Production logs show that when the agent handles complex billing disputes requiring 6+ tool calls, it sometimes exhausts its max_turns limit after gathering data but before completing resolution or escalating. The team's goal is to guarantee that every customer interaction ends with either a completed resolution or a human handoff, regardless of how the agent loop terminates. Which approach achieves this guarantee?

                          Answer: C

                          Explanation:
                          A system prompt cannot guarantee compliance, and turn-count hooks may escalate prematurely.
                          An orchestration-level fallback runs regardless of why the agent loop stopped, ensuring every interaction ends in either resolution or human escalation.


                          NEW QUESTION # 73
                          What is the specific behavior of the Claude Agent API when the tool_choice parameter is set to "any"?

                          Answer: B

                          Explanation:
                          Setting tool_choice to "any" tells Claude that it is strictly required to use a tool to respond, but it is free to choose whichever tool from the provided array best fits the prompt's context.


                          NEW QUESTION # 74
                          Your order management system requires tools for three distinct operations: issuing refunds (requires amount and reason), canceling orders (requires reason), and requesting reshipments (requires shipping address). Each operation shares an order_id parameter but has different additional requirements. You notice during testing that with your current unified tool design, the agent frequently omits required parameters or includes irrelevant ones. What design change will most effectively improve parameter accuracy?

                          Answer: D

                          Explanation:
                          Separate tools with operation-specific schemas make the required parameters clear and reduce ambiguity during tool selection. This improves parameter accuracy because each tool exposes only the fields needed for that exact action, such as refund amount and reason, cancellation reason, or reshipment address.


                          NEW QUESTION # 75
                          ......

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