Types of AI - ML, DL, Generative AI, and Agents CAIPM Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   A company needs a system that can automatically respond to customer inquiries by generating human-like replies and, when necessary, escalate to a human agent. Which AI type is most appropriate for the reply-generation component?

   • ADeep learning
   • BMachine learning
   • CAI agent
   • DGenerative AI
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   A media company wants to automatically generate short video summaries from long-form content and also recommend personalized summaries to users based on their viewing history. Which combination of AI types would be most effective?

   • AGenerative AI to create the summaries and a supervised ML model to personalize recommendations.
   • BDeep learning for image recognition to identify scenes in the video.
   • CA single generative AI model that also performs collaborative filtering.
   • DAn AI agent to autonomously decide which videos to produce.
   Reveal Solution Discussion Select an answer first
4. 23application · medium

   A customer service department wants an AI system that can handle routine inquiries, escalate complex issues to human agents, and learn from each interaction to improve future responses. Which AI type should they implement?

   • AA machine learning model that predicts customer satisfaction scores
   • BAn AI agent with natural language processing and a feedback loop
   • CA generative AI model that only drafts responses to inquiries
   • DA deep learning model that classifies inquiries into categories
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A game development studio wants to automatically create new levels, characters, and storylines for a video game based on player preferences. The system should also adapt the game difficulty in real time based on player performance. Which combination of AI types should they use?

   • AGenerative AI for content creation and an AI agent for adaptive difficulty
   • BAn AI agent for content creation and machine learning for difficulty adjustment
   • CDeep learning for content creation and generative AI for difficulty adjustment
   • DMachine learning for content creation and deep learning for difficulty adjustment
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A financial institution wants to predict loan default risk based on structured tabular data (income, credit history, loan amount). They require the model to be auditable and explainable to regulators. Which approach is most appropriate?

   • AUse a deep neural network with many hidden layers.
   • BUse an AI agent to autonomously approve or reject loans.
   • CUse a generative AI model to simulate customer profiles.
   • DUse a gradient-boosted tree model with feature importance analysis.
   Reveal Solution Discussion Select an answer first