A hospital network builds a multi-agent platform with:
• a scheduling agent,
• a billing validation

Q: What is the correct answer for Claude CCA-F Claude CCA-F?

The correct answer is A. Implementing timeout handling and fallback execution paths significantly improves the robustness and resilience of multi-agent systems with dependencies. This prevents deadlocks and stalled workflows by allowing the system to either proceed with an alternative, gracefully degrade, or notify an operator if an expected output isn't received within a specified timeframe, ensuring continuous operation

Q: A hospital network builds a multi-agent platform with: • a scheduling agent, • a billing validation agent, • and a patient communications agent. Developers notice workflows sometimes stall because…

The correct answer is A. Implementing timeout handling and fallback execution paths significantly improves the robustness and resilience of multi-agent systems with dependencies. This prevents deadlocks and stalled workflows by allowing the system to either proceed with an alternative, gracefully degrade, or notify an operator if an expected output isn't received within a specified timeframe, ensuring continuous operation

Q: What are the options for this Claude CCA-F Claude CCA-F question?

A. Add timeout handling and fallback execution paths between dependent agents. · B. Increase token size for all agents. · C. Allow agents to continuously retry failed requests without limits. · D. Remove inter-agent dependencies entirely.

Question

A hospital network builds a multi-agent platform with:
• a scheduling agent,
• a billing validation agent,
• and a patient communications agent.
Developers notice workflows sometimes stall because agents wait indefinitely for outputs from one another.
What is the MOST effective orchestration improvement?

FirstInTest · Accepted Answer

Implementing timeout handling and fallback execution paths significantly improves the robustness and resilience of multi-agent systems with dependencies. This prevents deadlocks and stalled workflows by allowing the system to either proceed with an alternative, gracefully degrade, or notify an operator if an expected output isn't received within a specified timeframe, ensuring continuous operation in critical healthcare environments. Increasing token size (B) is unrelated to dependency stalling, continuous retries without limits (C) can create resource exhaustion, and removing dependencies entirely (D) is often impractical for specialized, interconnected agents.

Answer

Add timeout handling and fallback execution paths between dependent agents.

Answer

Increase token size for all agents.

Answer

Allow agents to continuously retry failed requests without limits.

Answer

Remove inter-agent dependencies entirely.

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