How Data, Algorithms, and Models Form AI Foundations AIE Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A social media platform wants to automatically flag inappropriate content. They have a labeled dataset of text posts. They train a support vector machine (SVM) model. What is the model after training?

   • AA list of all users who posted inappropriate content
   • BThe original dataset of labeled posts
   • CThe SVM algorithm's documentation
   • DA decision boundary that separates appropriate from inappropriate posts
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A credit card company wants to detect fraudulent transactions. They have a dataset with transaction amounts, locations, and times. They notice many missing values and inconsistent formats. What is the most likely impact on the AI model if they train it without cleaning the data?

   • AThe model will automatically correct the missing values during training
   • BThe model will not be affected because algorithms handle data quality issues
   • CThe model will be more accurate because it sees more raw data
   • DThe model may learn incorrect patterns and produce unreliable fraud predictions
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   What is an algorithm in the context of artificial intelligence?

   • AA mathematical structure that stores the learned patterns of an AI system.
   • BA collection of historical data used to train an AI system.
   • CA step-by-step procedure that processes data to perform a specific task.
   • DThe final output generated by an AI system after processing input data.
   Reveal Solution Discussion Select an answer first
5. 19expert · hard

   A hospital wants to predict patient readmission risk. They have two data sources: structured EHR data (vitals, lab results) and unstructured clinical notes. They plan to use a deep learning model. The team is debating whether to include the unstructured notes. What is the most important consideration?

   • AUnstructured notes require preprocessing like tokenization and embedding before the model can use them
   • BStructured data alone is always sufficient for accurate predictions
   • CUnstructured notes are not useful for prediction and should be excluded
   • DThe algorithm will automatically parse the notes without preprocessing
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   An e-commerce company wants to build a recommendation system. They have collected user clickstream data, purchase history, and product reviews. What is the primary role of this data in the AI system?

   • AIt defines the exact recommendations the system will make
   • BIt serves as the raw material from which the algorithm learns user preferences
   • CIt replaces the need for an algorithm
   • DIt is the final output of the AI system
   Reveal Solution Discussion Select an answer first