Different AI Models and Development Processes AIE Practice Questions (Page 7)

Questions 31–35

1. 31application · medium

   A team has trained a model and evaluated it on a test set. The performance meets the success criteria, but the team is unsure if the model will work in the real-world environment. What is the most appropriate next step in the development process?

   • AConduct a pilot deployment or shadow mode to monitor performance in real conditions
   • BRetrain the model with more data
   • CDeploy the model to production immediately
   • DDiscard the model and start over
   Reveal Solution Discussion Select an answer first
2. 32foundation · easy

   Which type of AI model is best suited for an agent that learns to play a board game by repeatedly making moves and receiving a score at the end of each game?

   • AClustering model
   • BSupervised learning model
   • CUnsupervised learning model
   • DReinforcement learning model
   Reveal Solution Discussion Select an answer first
4. 33application · medium

   A team has built a model to predict equipment failure. The model performs well on historical data, but during a pilot deployment, it fails to predict failures that occur under new operating conditions. What should the team do?

   • ASwitch to a completely different problem definition
   • BDeploy the model more widely to gather more data
   • CIgnore the pilot results because the model was accurate on historical data
   • DRetrain the model using data that includes the new operating conditions
   Reveal Solution Discussion Select an answer first
5. 34application · medium

   A marketing team wants to segment their customers into distinct groups based on purchasing patterns to design targeted promotions. They have a dataset with customer purchase history but no predefined segments. Which model type should they use?

   • ASupervised classification
   • BReinforcement learning
   • CSupervised regression
   • DUnsupervised clustering
   Reveal Solution Discussion Select an answer first
6. 35application · medium

   A manufacturing company wants to classify images of products as defective or non-defective. They have a large dataset of labeled images. Which model type is most appropriate for this task?

   • AUnsupervised clustering model
   • BReinforcement learning model
   • CSupervised classification model
   • DSupervised regression model
   Reveal Solution Discussion Select an answer first