AI Solution Development Methodologies and Lifecycle AAIA Practice Questions (Page 7)

Questions 31–33

1. 31application · medium

   A logistics company has deployed a route optimization model. The model's performance is monitored using a dashboard that tracks prediction accuracy. Recently, the accuracy has dropped significantly. The data science team suspects that the distribution of input features has changed over time. What should the team do to confirm and address this issue?

   • AIncrease the frequency of model retraining to every week
   • BRetrain the model immediately with the most recent data
   • CReplace the model with a more complex model to handle the changing data
   • DPerform a statistical test to detect data drift and then retrain if drift is confirmed
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2. 32foundation · easy

   In the typical AI solution lifecycle, which phase immediately follows the model development phase?

   • ADeployment
   • BProblem definition
   • CData acquisition
   • DMonitoring
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3. 33foundation · easy

   Which practice is essential for maintaining multiple versions of an AI model and ensuring that the correct version is used in production?

   • AModel versioning
   • BFeature selection
   • CHyperparameter tuning
   • DData augmentation
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