Types of AI - ML, DL, Generative AI, and Agents CAIPM Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A healthcare startup needs to detect subtle patterns in medical images (e.g., early-stage tumors) that are often missed by human radiologists. They have a large dataset of labeled images and require high accuracy over interpretability. Which type of AI should they prioritize?

   • AGenerative AI to synthesize additional training images
   • BA rule-based expert system encoding radiologist guidelines
   • CDeep learning with convolutional neural networks (CNNs)
   • DClassical machine learning with decision trees
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   A retail company wants to predict which customers are likely to churn based on historical purchase data. Which machine learning approach is most appropriate?

   • AGenerative modeling to create synthetic customer profiles
   • BUnsupervised learning to discover hidden customer segments
   • CSupervised learning with labeled outcomes
   • DReinforcement learning to optimize marketing actions
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A bank wants to approve or reject small business loan applications based on a structured application form with about 20 fields. They have 50,000 historical applications with outcomes. The compliance team requires that the decision process be transparent and auditable. Which approach should the bank take?

   • ATrain a deep neural network to maximize approval accuracy
   • BDeploy an AI agent that autonomously approves or rejects loans
   • CUse a generative model to create synthetic loan applications for testing
   • DTrain a logistic regression model on the historical data
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A manufacturing company wants to detect microscopic surface defects on metal parts using high-resolution camera images. The defects vary in shape, size, and lighting conditions, and the company has a large dataset of labeled images. Which AI approach is most appropriate?

   • ATrain a convolutional neural network (CNN) on the labeled images
   • BBuild a decision tree using hand-crafted features like average color and edge count
   • CApply a linear regression model to pixel intensity values
   • DUse a generative adversarial network to create synthetic defect images for manual review
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A logistics company wants an AI system that can monitor incoming shipment emails, identify delays, and automatically reroute packages by updating the tracking system without human intervention. Which AI type best fits this requirement?

   • AA deep learning model that classifies emails as delayed or not
   • BA machine learning model that predicts delay probability for each shipment
   • CA generative AI model that drafts email responses to suppliers
   • DAn AI agent that perceives email data, decides on rerouting, and executes the update
   Reveal Solution Discussion Select an answer first