Exam CCAR-F Topic 1 Question 3 Discussion
Actual exam question for Anthropic's CCAR-F exam
Question #: 3
Topic #: 1
Question #: 3
Topic #: 1
You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools (get_customer, lookup_order, process_refund, escalate_to_human). Your target is 80%+ first-contact resolution while knowing when to escalate.
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?
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?
Suggested Answer: C Vote an answer
Option C is the only approach that guarantees the required terminal condition independently of the model's behavior. When the agent loop stops, the orchestration layer evaluates the recorded outcome. If neither a successful resolution nor a confirmed human escalation occurred, deterministic application code invokes escalate_to_human using the information accumulated before termination.
The max_turns limit is a host-controlled safety boundary. Once that boundary is reached, the model may no longer have an opportunity to follow a prompt instruction or make another tool call. Therefore, the required fallback cannot depend entirely on Claude deciding to escalate before its remaining turns are exhausted.
Option A escalates based on an arbitrary 80% threshold and may prematurely terminate cases that could have been resolved successfully within the remaining budget. Option B provides additional turn capacity but does not guarantee that the second agent will complete its work or escalate before its own limit is reached. Option D remains probabilistic and cannot operate after an unexpected termination has already occurred.
The orchestration fallback should be idempotent, ensuring that repeated completion checks cannot create duplicate escalation records. It should also include verified customer information, relevant order data, completed actions, failure reasons, and the unresolved request in the handoff payload.
Official references/topics: Agent-loop termination, deterministic fallback orchestration, terminal-state validation, human handoff guarantees.
The max_turns limit is a host-controlled safety boundary. Once that boundary is reached, the model may no longer have an opportunity to follow a prompt instruction or make another tool call. Therefore, the required fallback cannot depend entirely on Claude deciding to escalate before its remaining turns are exhausted.
Option A escalates based on an arbitrary 80% threshold and may prematurely terminate cases that could have been resolved successfully within the remaining budget. Option B provides additional turn capacity but does not guarantee that the second agent will complete its work or escalate before its own limit is reached. Option D remains probabilistic and cannot operate after an unexpected termination has already occurred.
The orchestration fallback should be idempotent, ensuring that repeated completion checks cannot create duplicate escalation records. It should also include verified customer information, relevant order data, completed actions, failure reasons, and the unresolved request in the handoff payload.
Official references/topics: Agent-loop termination, deterministic fallback orchestration, terminal-state validation, human handoff guarantees.
by Myron at Jul 24, 2026, 03:41 AM
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