Exam CCAR-P Topic 1 Question 106 Discussion
Actual exam question for Anthropic's CCAR-P exam
Question #: 106
Topic #: 1
Question #: 106
Topic #: 1
You are integrating human review into a high-volume classification pipeline where reviewing every output is infeasible.
Which sampling strategy best balances throughput with quality oversight?
Which sampling strategy best balances throughput with quality oversight?
Suggested Answer: B Vote an answer
Risk-stratified sampling concentrates limited reviewer capacity where error consequences and uncertainty are greatest. All low-confidence and high-impact cases should receive mandatory review, while random sampling of routine high-confidence outputs provides an unbiased signal for drift, unexpected failure modes, and overconfident errors. Complaint-only monitoring discovers defects after harm occurs. Reviewing only high- confidence cases systematically ignores the most dangerous outputs. Universal review provides maximum coverage but contradicts the stated throughput constraint and may create queues that undermine service objectives. The sampling policy should define confidence calibration, impact categories, escalation thresholds, review SLAs, and periodic adjustment based on observed error rates. Reviewer decisions should feed the evaluation dataset so monitoring quality improves over time.
by Chasel at Aug 27, 2026, 10:18 AM
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