AWS Certification Exam AI Practitioner (Practice Questions) set15

問題 64 / 65

What operational trade-offs are likely to arise when frequently updating a learning model in real time to adapt to changes in the environment?

Explainability automatically improves as the number of updates increases.
Reducing updates improves adaptability.
Frequent updates increase adaptability but reduce auditability and reproducibility, making safety assessments difficult.
When updates are performed, the importance of past data is preserved permanently and accuracy is guaranteed.
Whether or not updates are made does not affect operational load.

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