AWS Certified AI Practitioner AIF-C01 Practice Question
A team plans to add a text-summarization feature by calling a foundation model through Amazon Bedrock. To support the company's sustainability goals, which practice should the team follow when choosing the model?
Pick the model with the greatest number of parameters to ensure the highest quality results.
Enable GPU autoscaling to keep inference instances running at maximum capacity even when traffic is low.
Select the smallest model that still meets the application's accuracy needs to minimize compute usage.
Store every generated summary in Amazon S3 Glacier Deep Archive to reduce storage costs.
Selecting the smallest foundation model that achieves the required accuracy means less memory, compute time, and power are consumed for each invocation. AWS's sustainability guidance recommends right-sizing and avoiding over-provisioned or unnecessarily large models to reduce energy use and carbon emissions. Choosing the largest or most parameters by default, keeping GPU capacity idle, or moving outputs to archival storage do not address the environmental impact of inference.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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