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AIF-C01 Practice Question: A company uses Amazon Bedrock to generate…
A company uses Amazon Bedrock to generate marketing copy. They want to evaluate the quality of generated text against human-written reference texts using automated metrics. Which metric measures the overlap of n-grams between generated and reference text?
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 measures n-gram overlap and is commonly used for summarisation. BLEU is for translation, BERTScore uses embeddings, and Perplexity measures language model confidence.
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 a model predicts text, not overlap with references.
- ✗
BLEU
Why it's wrong here
BLEU measures precision of n-grams and is more common for translation.
- ✓
ROUGE
Why this is correct
ROUGE (Recall-Oriented Understudy for Gisting Evaluation) measures n-gram overlap.
- ✗
BERTScore
Why it's wrong here
BERTScore uses contextual embeddings, not simple n-gram overlap.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services 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 AIF-C01 exam.