Different AI Models and Development Processes AIE Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   In a typical AI development process, which stage immediately follows the collection and preparation of training data?

   • AModel training
   • BDeployment
   • CProblem definition
   • DModel evaluation
   Reveal Solution Discussion Select an answer first
2. 22expert · hard

   A team has built a model to classify support tickets into categories. The model achieves 95% accuracy on the test set. However, when deployed, the model performs poorly on tickets that contain new terminology. What is the most likely cause and the best next step?

   • AThe model is overfitting to the training data; apply regularization
   • BThe deployment environment is faulty; check the infrastructure
   • CThe model is underfitting; increase model complexity
   • DThe test set is not representative of real-world data; update the test set and retrain with more diverse examples
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   Which stage of the AI development process involves assessing the model's performance on unseen data to ensure it generalizes well?

   • AData collection
   • BModel training
   • CModel evaluation
   • DDeployment
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A team is developing an AI system to predict equipment failures in a factory. They have collected sensor data and are currently training several candidate models. According to the typical AI development process, what should the team do immediately after training the models?

   • ACollect more data from the factory floor
   • BEvaluate the models using appropriate metrics on a validation or test set
   • CDefine the problem statement and success criteria
   • DDeploy the best-performing model to production
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   When selecting an AI model, which factor is most important to consider first?

   • AThe number of developers on the team
   • BThe color scheme of the data visualizations
   • CThe brand of the cloud provider
   • DThe type of problem (e.g., classification vs. regression)
   Reveal Solution Discussion Select an answer first