Objective 1.3 Research Learning Systems [Identify Business Case for Image Recognition; NLP; Speech Recognition; Predictive & Recommendation Systems; Discovery & Diagnostic Systems; Robotics and Autonomous Systems] AIP-210 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   A logistics company wants to deploy vehicles that can navigate warehouse floors and transport goods without human drivers. Which AI system is best suited for this business case?

   • ANatural language processing to read shipping labels
   • BAutonomous system that uses sensors and AI to navigate and make decisions
   • CPredictive analytics to forecast delivery times
   • DImage recognition system to classify warehouse photos
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   An airline wants to anticipate which flights are likely to be overbooked so they can proactively offer voluntary bumping incentives. They have historical booking data, seasonal trends, and real-time booking patterns. What should they build?

   • AA natural language processing system that reads customer emails to detect complaints about full flights.
   • BA predictive analytics model that forecasts the likelihood of overbooking for each flight based on historical and real-time data.
   • CA recommendation system that suggests alternative flights to passengers who are likely to be bumped.
   • DAn image recognition system that analyzes passenger photos at the gate to estimate crowd size.
   Reveal Solution Discussion Select an answer first
4. 18expert · hard

   A retail company wants to reduce inventory costs by predicting demand for each product. They have historical sales data, but also want to identify which products are frequently bought together to optimize shelf placement. They have limited data science expertise. What is the most practical approach?

   • AUse a recommendation system to suggest products to customers, which indirectly helps with both demand and associations.
   • BUse a single predictive analytics model that also outputs product associations as a secondary output.
   • CBuild a predictive analytics model for demand forecasting and use a separate discovery system for market basket analysis to identify product associations.
   • DUse a discovery system to find patterns in sales data, which can also be used for demand forecasting.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   An online retailer wants to show each customer a personalized list of products they are likely to purchase. Which AI system is most directly applicable?

   • ANatural language processing to analyze product descriptions
   • BSpeech recognition to transcribe customer service calls
   • CDiagnostic system to detect website errors
   • DRecommendation system that uses purchase history and browsing behavior
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   An e-commerce company wants to forecast next quarter's sales to optimize inventory levels. Which AI system is best suited for this business case?

   • APredictive analytics to forecast future sales based on historical data
   • BRecommendation system to suggest products to customers
   • CImage recognition to analyze product photos
   • DSpeech recognition to transcribe customer calls
   Reveal Solution Discussion Select an answer first