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Why is data logging important in AI systems?

publish date: 2025/09/28 03:09:49.047660 UTC

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it helps speed up model training by skipping error checks

It captures inputs, outputs, and system events, supporting debugging, monitoring, and transparency

It prevents the need for data residency compliance

It automatically guarantees 100% model accuracy

Correct Answer

It captures inputs, outputs, and system events, supporting debugging, monitoring, and transparency

Explanation

Logging provides critical information for tracing, auditing, and improving model performance. Data logging is separate from data residency. Logs support diagnosis and improvement, but they cannot guarantee perfect accuracy.

Reference

AWS Certified AI Practitioner (AIF-C01) Study Guide, Tom Taulli

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