AWS Certified AI Practitioner AIF-C01 Practice Question
A retail company uses a text-generation foundation model to draft product descriptions and wants to confirm that the new workflow really boosts productivity for its marketing team. Which metric provides the clearest evidence of a productivity improvement?
Increase in monthly revenue for the associated products
Peak GPU utilization during model inference
BLEU score of generated descriptions compared with a reference set
Average human time required to publish one product description
The goal is to show that employees complete their work faster after adopting the model. Tracking the average time a marketer spends creating each product description directly measures human effort and therefore productivity. Model-centric metrics such as BLEU or perplexity indicate linguistic quality, while GPU utilization reflects infrastructure efficiency. Revenue per product measures business outcome but is influenced by many factors unrelated to writing speed, so it is not a direct productivity metric.
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AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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