1Z0-1127-25 LLM Fundamentals Practice Question
A data scientist is comparing BLEU, ROUGE, and BERTScore to evaluate a summarization model. The client cares most about whether the summary captures all key facts from the source document. Which metric is most aligned with this requirement?
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
✓
ROUGE
ROUGE is recall-oriented, measuring how much of the reference content appears in the generated summary, which aligns with capturing key facts. BLEU is precision-oriented, and BERTScore measures semantic similarity but is not specifically recall-focused.
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 measures how well the model predicts the next token; it is not a task-specific evaluation metric for summarization.
- ✗
BERTScore
Why it's wrong here
BERTScore measures semantic similarity using embeddings, but it does not specifically emphasize recall of all key facts.
- ✗
BLEU
Why it's wrong here
BLEU focuses on n-gram precision, penalizing extra words not in the reference, which does not directly measure fact coverage.
- ✓
ROUGE
Why this is correct
ROUGE recall (e.g., ROUGE-1, ROUGE-L) measures overlap with the reference, directly indicating how many key facts are captured.
Go deeper
Related to this question
About these practice questions
Courseiva writes every 1Z0-1127-25 question from scratch — 768 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This 1Z0-1127-25 practice question is part of Courseiva's free Oracle 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 1Z0-1127-25 exam.