Microsoft Azure AI Fundamentals AI-900 Practice Question

When you design a machine-learning application for production, which action helps ensure the system remains safe if it encounters unexpected errors or operating conditions?

  • Disabling runtime monitoring to minimize operational overhead

  • Designing the system with fail-safe and human-override controls

  • Training the model only on perfectly labeled, noise-free data

  • Filtering out all unusual or outlier inputs during inference

Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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