Microsoft Azure AI Fundamentals AI-900 Practice Question
Which of the following best explains why an AI solution requires regular updates and maintenance after deployment to ensure its reliability and safety?
To significantly reduce the initial cost of developing the AI model.
To address potential data drift and maintain the model's performance.
To change the underlying AI architecture from a neural network to a decision tree.
To fulfill a one-time deployment checklist required by software vendors.
This statement is correct. To ensure ongoing reliability and safety, an AI solution requires regular updates and maintenance. This is because the data and environment in which the model operates can change over time, a phenomenon known as 'data drift' or 'model drift'. These changes can degrade the model's performance and accuracy. Continuous monitoring and updating help address these shifts, fix any emerging issues, and maintain the system's effectiveness and safety. Reducing development costs or changing the fundamental architecture are not the primary goals of post-deployment maintenance.
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Microsoft Azure AI Fundamentals AI-900
Describe Artificial Intelligence Workloads and Considerations
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