How Data, Algorithms, and Models Form AI Foundations AIE Practice Questions (Page 9)

Questions 41–44

1. 41application · medium

   An insurance company wants to build a model to predict claim fraud. They have a dataset with many features, but some features have high cardinality (e.g., customer ID) and others are highly correlated. What is the most appropriate data preprocessing step to improve model training?

   • APerform feature selection or dimensionality reduction to remove irrelevant or redundant features
   • BDuplicate the dataset to give the algorithm more examples
   • CIncrease the number of features to capture more detail
   • DRemove all categorical features and keep only numerical ones
   Reveal Solution Discussion Select an answer first
2. 42foundation · easy

   How do data, algorithms, and models work together in an AI system?

   • AData and models are interchangeable, and algorithms are optional.
   • BThe model generates data, which is then used to create an algorithm.
   • CData is collected, an algorithm processes it to create a model, and the model makes predictions.
   • DThe algorithm is trained on the model to produce data.
   Reveal Solution Discussion Select an answer first
4. 43application · medium

   A healthcare startup wants to build an AI system that predicts patient readmission risk. They have electronic health records and plan to use a gradient boosting algorithm. Which sequence correctly describes how data, algorithms, and models work together?

   • AData is fed into the algorithm, which learns patterns and produces a model that makes predictions
   • BThe model is created first, then the algorithm is applied to generate data
   • CData and models are combined to create an algorithm
   • DThe algorithm is trained on the model to produce new data
   Reveal Solution Discussion Select an answer first
5. 44foundation · easy

   What is the primary purpose of a model in an AI system?

   • ATo make predictions or decisions based on patterns learned from data.
   • BTo store the raw data used during training.
   • CTo define the rules for how the AI system interacts with users.
   • DTo provide a step-by-step procedure for processing data.
   Reveal Solution Discussion Select an answer first