How Data, Algorithms, and Models Form AI Foundations AIE Practice Questions (Page 8)

Questions 36–40

1. 36application · medium

   A music streaming service wants to classify songs into genres. They have a dataset of audio features (tempo, energy, danceability) and genre labels. They choose a k-nearest neighbors (k-NN) algorithm. What is the algorithm's role in this scenario?

   • ATo generate new audio features for unlabeled songs
   • BTo compute distances between songs in feature space and assign the most common genre among neighbors
   • CTo store the dataset and retrieve it when needed
   • DTo create a mathematical equation that maps features to genres
   Reveal Solution Discussion Select an answer first
2. 37application · medium

   A social media platform wants to automatically flag inappropriate content. They have a dataset of user posts labeled as appropriate or inappropriate. They use a neural network algorithm to train a classifier. After deployment, the classifier sometimes misclassifies posts. What is the most likely reason?

   • AThe neural network algorithm is inherently flawed
   • BThe algorithm is not processing the data correctly
   • CThe model is too simple to learn any patterns
   • DThe training data may not represent the full variety of posts the model will encounter
   Reveal Solution Discussion Select an answer first
4. 38application · medium

   A retail company wants to build a model that predicts which customers are likely to churn next month. They have a dataset with customer demographics, purchase history, and support interactions. They plan to use a logistic regression algorithm. What is the most important first step to ensure the model can learn effectively?

   • ADeploy the model immediately to production to start generating predictions
   • BSelect the most complex algorithm available to maximize predictive accuracy
   • CClean the data by handling missing values, removing duplicates, and encoding categorical variables
   • DCollect more data without any preprocessing to increase the sample size
   Reveal Solution Discussion Select an answer first
5. 39foundation · easy

   How is a model created in artificial intelligence?

   • ABy manually coding every possible decision rule into the system.
   • BBy collecting data and storing it in a database for future use.
   • CBy applying an algorithm to a dataset to learn patterns and make predictions.
   • DBy defining a set of instructions that the system follows without learning.
   Reveal Solution Discussion Select an answer first
6. 40expert · hard

   A marketing team wants to build a customer segmentation model. They have a dataset with purchase history and demographics. They are deciding between a k-means clustering algorithm and a decision tree. The team needs to assign new customers to segments automatically. What is the best approach?

   • AUse only k-means and manually assign new customers to the nearest cluster each time
   • BUse k-means to create segments and then train a decision tree on the labeled data to classify new customers
   • CUse only a decision tree without any clustering
   • DUse k-means and then discard the model, using raw data for new customers
   Reveal Solution Discussion Select an answer first