Differences Between AI, Automation, and Analytics CAIPM Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which business scenario combines AI, automation, and analytics together?

   • AA company uses historical sales data to generate a monthly report
   • BA company uses a rule-based system to automatically approve routine expense claims
   • CA company analyzes customer feedback, uses AI to classify sentiment, and automatically routes negative feedback to support teams
   • DA company uses a machine learning model to predict customer churn
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   An e-commerce company wants to automatically send a discount coupon to customers who have abandoned their shopping cart for more than 24 hours. The company has a clear rule for this action and wants to implement it without manual intervention. Which technology is most appropriate for this task?

   • AA machine learning model that predicts which customers are likely to respond to a coupon.
   • BA rule-based automation workflow that triggers the coupon email when the cart abandonment condition is met.
   • CA chatbot that asks customers why they abandoned their cart and then offers a coupon.
   • DAn analytics dashboard that shows cart abandonment rates and lets marketing manually send coupons.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   What is a key characteristic of automation?

   • AIt focuses on discovering hidden patterns in data
   • BIt improves its performance by learning from new data
   • CIt requires human intervention for every step of the process
   • DIt relies on rule-based processes to execute tasks consistently
   Reveal Solution Discussion Select an answer first
5. 9expert · hard

   A media company wants to personalize content recommendations for its users. They have data on user behavior, but the data is sparse for new users. They also want to automate the recommendation process and provide editors with insights into why certain content is recommended. Which approach best addresses the cold-start problem and the need for explainability?

   • AUse a hybrid model that combines collaborative and content-based approaches, but do not provide explanations.
   • BUse a content-based model that recommends content based on item features, and provide explanations based on those features.
   • CUse a collaborative filtering model that recommends content based on similar users' preferences, and automate the recommendations.
   • DUse analytics to segment users and recommend the most popular content in each segment.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A manufacturing company wants to implement a system that can automatically adjust machine settings in response to changing production conditions, such as temperature and raw material quality. The system should learn from past adjustments to improve its decisions over time. Which type of technology should the company choose?

   • AA traditional automation system with pre-programmed rules for each possible condition.
   • BAn analytics platform that reports on production conditions and suggests manual adjustments.
   • CA simple feedback control loop that maintains a fixed setpoint regardless of conditions.
   • DAn AI-based control system that uses reinforcement learning to optimize machine settings based on feedback from production outcomes.
   Reveal Solution Discussion Select an answer first