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Generative AI Leader Fundamentals of Generative AI Practice Question

A team is tuning a large language model for a question-answering task. They notice the model gives high confidence scores to answers that are factually incorrect. Which evaluation metric should they primarily use to detect this overconfidence problem?

⚠ Common exam trap

Google Cloud often tests the distinction between intrinsic evaluation metrics (like perplexity) and calibration metrics, leading candidates to mistakenly choose perplexity when the core issue is confidence miscalibration rather than general model uncertainty.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Expected Calibration Error (ECE)

Expected Calibration Error (ECE) directly measures the alignment between a model's predicted confidence and its actual accuracy. In this scenario, high confidence on incorrect answers indicates miscalibration, and ECE quantifies this mismatch by binning predictions by confidence and computing the average absolute difference between accuracy and confidence per bin.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Perplexity

    Why it's wrong here

    Perplexity indicates model surprise, not confidence in correctness.

  • Expected Calibration Error (ECE)

    Why this is correct

    ECE directly quantifies how well confidence scores reflect actual correctness.

  • BLEU score

    Why it's wrong here

    BLEU evaluates text similarity, not confidence calibration.

  • ROUGE-L

    Why it's wrong here

    ROUGE-L measures recall of longest common subsequence, not calibration.

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This Generative AI Leader practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Generative AI Leader exam.