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Flashcard Practice Databricks Certified Machine Learning Associate Multiple Choice

A security team currently runs a nightly batch model to detect suspicious login patterns. New requirements call for alerting within minutes as events arrive, while still writing predictions to a governed Delta table. Which migration is most appropriate?

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Keep the nightly job and lower the alert threshold so delayed detections are more sensitive. Train a larger model and keep the same nightly scoring schedule until precision improves. Expose a realtime endpoint and have the security dashboard query it when an analyst opens an alert. Use streaming inference with checkpointed writes and late-event monitoring for the login stream.

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