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Exam AIF-C01 Topic 2 Question 84 Discussion

Actual exam question for Amazon's AIF-C01 exam
Question #: 84
Topic #: 2
A company has set up a translation tool to help its customer service team handle issues from customers around the world. The company wants to evaluate the performance of the translation tool. The company sets up a parallel data process that compares the responses from the tool to responses from actual humans. Both sets of responses are generated on the same set of documents.
Which strategy should the company use to evaluate the translation tool?

Suggested Answer: B Vote an answer

Comprehensive and Detailed Explanation From Exact AWS AI documents:
BLEU is a widely used metric for evaluating machine translation by comparing machine-generated translations against reference (human) translations.
In this scenario:
* Both systems are evaluated on the same dataset
* The goal is to compare model output against human output
AWS ML evaluation guidance describes BLEU as suitable for relative comparison of translation quality across systems.
Why the other options are incorrect:
* Absolute quality (A, C) is difficult to measure without human judgment.
* BERTScore (D) is more computationally complex and less standard for operational comparisons.
AWS AI document references:
* Evaluating Machine Translation Models
* NLP Model Evaluation Metrics
* Comparing AI and Human Translations

by Stan at Apr 15, 2026, 12:05 AM

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