Differentiate the Use Between Different Algorithm Types (supervised, Unsupervised, Reinforcement) CERTIFIED-AI-EXPERT Practice Questions (Page 5)

Questions 21–24

1. 21foundation · easy

   Which task is a common use case for unsupervised learning?

   • ATraining an agent to play chess by rewarding it for winning.
   • BClassifying images of cats and dogs using labeled photos.
   • CPredicting the price of a stock based on historical data with known prices.
   • DGrouping customers into segments based on purchasing behavior without predefined categories.
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   Which statement correctly describes unsupervised learning?

   • AIt requires a reward signal to adjust the model's parameters during training.
   • BIt uses labeled data to predict a target variable for new inputs.
   • CIt uses an agent that interacts with an environment to maximize cumulative rewards.
   • DIt uses unlabeled data to find patterns, such as grouping similar items together.
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   What is a key characteristic of reinforcement learning?

   • AIt uses unlabeled data to find clusters and reduce dimensionality.
   • BIt learns from a reward signal that indicates the quality of actions taken.
   • CIt relies on a fixed set of examples and does not involve trial-and-error.
   • DIt requires a dataset with input-output pairs for training.
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   Which task is a common use case for reinforcement learning?

   • AClassifying emails as spam or not spam using labeled examples.
   • BPredicting house prices using historical data with known sale prices.
   • CTraining an agent to play a video game by maximizing its score.
   • DGrouping customers into segments based on purchasing behavior.
   Reveal Solution Discussion Select an answer first