1.1 Describe Core Generative AI (gen AI) Concepts and Use Cases. GENERATIVE-AI-LEADER Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which machine learning approach is best suited for training an agent to play a game by maximizing cumulative rewards through trial and error?

   • ASupervised learning
   • BUnsupervised learning
   • CTransfer learning
   • DReinforcement learning
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   When selecting a foundation model for a business use case, which factor determines the maximum amount of text the model can process in a single input?

   • AModality
   • BContext window
   • CFine-tuning
   • DAvailability
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Why is data accessibility important in AI projects?

   • AIt reduces the cost of data storage.
   • BIt guarantees that data is always accurate.
   • CIt ensures data is stored in a single format.
   • DIt ensures that data is available to the right people and systems when needed.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   Which stage of the machine learning lifecycle involves cleaning, transforming, and splitting data into training and validation sets?

   • AData ingestion
   • BModel training
   • CData preparation
   • DModel deployment
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   In which machine learning approach does the model learn from data that includes both input features and their corresponding correct outputs?

   • AUnsupervised learning
   • BReinforcement learning
   • CSemi-supervised learning
   • DSupervised learning
   Reveal Solution Discussion Select an answer first