AWS Certified AI Practitioner AIF-C01 Practice Question
A company selects a foundation model that was originally trained on public news articles. They now want to use the same model to generate summaries of highly technical engineering reports. From a cross-domain performance perspective, what should the company evaluate first?
Average end-to-end response latency when invoked from multiple AWS Regions.
The model's summarization accuracy on a test set of real engineering reports.
Estimated token-based cost of running inference with provisioned throughput.
Whether the model can accept image inputs in addition to text.
Cross-domain performance refers to how well a model that was trained in one content domain continues to perform when applied to a different domain. Accuracy often drops because vocabulary, style, and intent differ. Therefore, the first evaluation step is to measure whether the model still produces useful, accurate summaries on representative engineering reports. Other factors such as latency, regional availability, or multimodal support are important, but they do not address the core question of domain shift.
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AWS Certified AI Practitioner AIF-C01
Fundamentals of Generative AI
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