How Data, Algorithms, and Models Form AI Foundations AIE Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A manufacturing company wants to use AI to detect defective products on an assembly line. They have images of good and defective items. They choose a convolutional neural network (CNN) algorithm. What is the algorithm's role in this system?

   • AIt stores the images in a labeled database for manual review
   • BIt generates new images of defective products
   • CIt processes the images to learn visual patterns that distinguish defects
   • DIt displays the images to human inspectors
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A healthcare startup wants to build a model that predicts patient readmission risk. They have a labeled dataset of patient records and readmission outcomes. They train a logistic regression algorithm on this data. What is the resulting model?

   • AThe dataset of patient records used for training
   • BA mathematical representation that maps patient features to readmission probability
   • CA set of rules manually written by doctors
   • DThe logistic regression algorithm itself
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   A streaming service wants to predict which movies a user will enjoy. They train a collaborative filtering model on user ratings. After training, what does the model enable the system to do?

   • AEstimate ratings for movies the user has not seen based on learned preferences
   • BGenerate random movie suggestions without using data
   • CDisplay the algorithm's source code to developers
   • DStore all user ratings in a database for future queries
   Reveal Solution Discussion Select an answer first
5. 29foundation · easy

   In the context of artificial intelligence, what is the role of data?

   • AData is the mathematical structure that stores the learned knowledge of an AI system.
   • BData is the set of rules that an AI system follows to process inputs.
   • CData is the raw material that AI systems learn from to identify patterns and make decisions.
   • DData is the final output produced by an AI system after processing.
   Reveal Solution Discussion Select an answer first
6. 30expert · hard

   A self-driving car company is training a model to detect pedestrians. They have a dataset with images from sunny days but very few images from rainy or nighttime conditions. They train a convolutional neural network and achieve high accuracy on sunny images but poor accuracy on rainy images. What is the most likely cause?

   • AThe training data is not representative of all conditions the model will encounter
   • BThe algorithm is too simple to learn pedestrian features
   • CThe model is overfitting to the rainy images
   • DThe algorithm is not processing the images correctly
   Reveal Solution Discussion Select an answer first