When and How to Retrain ML Models on AWS Automatically
Machine learning models are not “set and forget.” Over time, data changes, user behavior shifts, and business rules evolve , causing even the best models to lose accuracy. For the AWS Certified Machine Learning – Specialty (MLS-C01) exam , you’re expected to know when retraining is required and how to automate it safely on Amazon Web Services . This article explains retraining triggers, automation strategies, and exam-ready decision logic . Why Automatic Retraining Matters in MLS-C01 MLS-C01 focuses on production ML systems , not experimental notebooks. AWS tests your ability to: Detect performance degradation Decide when retraining is necessary Automate retraining without disrupting production Validate models before redeployment ❗ Retraining too often wastes money. ❗ Retraining too late breaks business outcomes. The correct answer is balance , driven by monitoring and automation. When Should ML Models Be Retrained? MLS-C01 scenarios usually hint at retraining needs wi...
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