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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
      Claude Code Workflows & Configuration20%- Claude Code operational patterns
      • 1. CI/CD and workflow integration
        • 2. Plan mode vs execution mode
          Prompt Engineering & Structured Output20%- Reliable structured generation
          • 1. Schema-guided outputs
            • 2. Prompt patterns for agents
              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. Task decomposition strategies
                    • 2. Hub-and-spoke agent systems
                      Context Management & Reliability15%- Long-context optimization
                      • 1. Reliability and retry strategies
                        • 2. Context window management

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                          100% Pass 2026 Anthropic Efficient CCA-F: Claude Certified Architect Foundations (CCA-F) Practice Questions

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                          Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q105-Q110):

                          NEW QUESTION # 105
                          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 # 106
                          Your structured data extraction pipeline implements a validation-retry loop. When an extracted value fails a business logic check (e.g., line items do not sum to the total), how should the retry prompt be structured?

                          Answer: C

                          Explanation:
                          A successful validation-retry loop requires appending specific error details (not generic messages) to the prompt and supplying both the source document and the failed extraction. Generic retry messages give the model no signal for what to fix.


                          NEW QUESTION # 107
                          When designing escalation patterns for an autonomous customer support agent, which of the following represent architectural anti- patterns that should be avoided? Choose 2 correct answers.

                          Answer: A,C

                          Explanation:
                          Using self-reported model confidence scores and customer sentiment are heavily tested anti-patterns. Model confidence is poorly calibrated for routing, and sentiment does not correlate with task complexity. Explicit human requests and policy gaps are valid escalation triggers.


                          NEW QUESTION # 108
                          When processing a batch of 10,000 documents via the Message Batches API, 45 requests fail due to context window limits. What is the recommended failure handling strategy?

                          Answer: B

                          Explanation:
                          Batch failures should be handled by identifying the specific failed requests using their custom_id, modifying them appropriately (e.g., chunking oversized documents to fit context limits), and resubmitting only those failed items.


                          NEW QUESTION # 109
                          When providing Claude with a 50-page document, you notice it accurately recalls details from the first and last pages but misses a critical instruction buried on page 25. What is this phenomenon called?

                          Answer: A

                          Explanation:
                          The "lost in the middle" effect describes how models reliably process information at the beginning and end of long inputs but may omit findings or instructions buried in middle sections.


                          NEW QUESTION # 110
                          ......

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