AWS Certified AI Practitioner AIF-C01 Practice Question

A startup plans to deploy a text-classification solution on AWS. The team wants to keep the application's carbon footprint as low as possible while meeting accuracy requirements. Which practice best supports this goal when selecting a model?

  • Choose the smallest pre-trained model that still meets the application's accuracy targets.

  • Fine-tune a very large foundation model for many additional epochs to maximize accuracy.

  • Deploy the model on a dedicated GPU instance and keep it running even when traffic is low.

  • Train a new deep-learning model from scratch on on-demand GPU instances.

AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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