Differentiate the Use Between Different Algorithm Types (supervised, Unsupervised, Reinforcement) CERTIFIED-AI-EXPERT Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which characteristic is a key feature of supervised learning?

   • AThe model discovers clusters in data without any predefined categories.
   • BThe training data includes both input features and their corresponding output labels.
   • CThe model receives a reward signal after each action to guide its learning.
   • DThe model learns entirely from unlabeled data by finding inherent structures.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which scenario is an example of a supervised learning application?

   • ACompressing a high-dimensional dataset into fewer dimensions for visualization.
   • BForecasting house prices using historical data with known sale prices.
   • CIdentifying groups of similar documents based on topic without any labels.
   • DTeaching a robot to navigate a maze by rewarding it for reaching the exit.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A music streaming service wants to create a playlist recommendation system. They have a dataset of users' listening histories and the songs they have liked or disliked. They want to predict which new songs a user will like. Which algorithm type should they use?

   • AReinforcement learning, by having an agent recommend songs and receive feedback on user engagement.
   • BSupervised learning, by training a model on the labeled data (liked/disliked songs) to predict user preferences.
   • CUnsupervised learning, by clustering users based on their listening habits.
   • DDimensionality reduction, to reduce the number of songs in the dataset.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is a defining characteristic of unsupervised learning?

   • AThe model is trained with input-output pairs where each example has a known label.
   • BThe model learns by receiving rewards or punishments for its actions in an environment.
   • CThe model requires a human to manually label all data before training begins.
   • DThe model learns from unlabeled data to discover hidden patterns or structures.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A real estate company wants to predict the selling price of a house based on features like square footage, number of bedrooms, and location. They have historical data of sold houses with their final sale prices. Which algorithm type should they use?

   • AReinforcement learning, by having an agent negotiate prices to maximize profit.
   • BDimensionality reduction, to reduce the number of features before predicting the price.
   • CSupervised learning, using regression to predict the continuous sale price from the features.
   • DUnsupervised learning, by clustering houses into price ranges.
   Reveal Solution Discussion Select an answer first