AWS Certification Exam AI Practitioner (Practice Questions) set15
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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?
①Explainability automatically improves as the number of updates increases.
②Reducing updates improves adaptability.
③Frequent updates increase adaptability but reduce auditability and reproducibility, making safety assessments difficult.
④When updates are performed, the importance of past data is preserved permanently and accuracy is guaranteed.
⑤Whether or not updates are made does not affect operational load.
