AnthropicEvaluation, Testing, and Optimization

Evals & Release Gate — CCAR-P Practice Question

A representative Claude Certified Architect - Professional (CCAR-P) exam question on Evals & Release Gate. Work through it below, then read why each option is right or wrong.

Short answer

The correct answer is A. Not until the risk-specific release threshold is met and the violation regression is understood.

Averages must not hide critical regressions. Risk-weighted gates should block a release that worsens an explicitly protected safety outcome.

The Question

An assistant's overall success rate rises from 84% to 89%, but policy-violation failures double from 0.2% to 0.4%. Should the release proceed?

ANot until the risk-specific release threshold is met and the violation regression is understoodCorrect
BYes, if the new model is cheaper
CDecide from one stakeholder demo
DYes, because average success improved

Why A is correct

Averages must not hide critical regressions. Risk-weighted gates should block a release that worsens an explicitly protected safety outcome.

Why the other options are wrong

Option B: Yes, if the new model is cheaper

Option B does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (A) is the only one that fully meets every constraint stated in the question.

Option C: Decide from one stakeholder demo

Option C does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (A) is the only one that fully meets every constraint stated in the question.

Option D: Yes, because average success improved

Option D does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (A) is the only one that fully meets every constraint stated in the question.

Key idea: Evals & Release Gate

Averages must not hide critical regressions. Risk-weighted gates should block a release that worsens an explicitly protected safety outcome. On the CCAR-P exam, questions in the "Evaluation, Testing, and Optimization" domain test whether you can map a scenario's constraints to the right choice. Read the requirement carefully, eliminate options that violate any single constraint, and pick the one that satisfies all of them with the least operational overhead.

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