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 1)

Questions 1–5

1. 1foundation · easy

   A retail chain wants to automatically count the number of customers entering a store and analyze their movement patterns to optimize store layout. Which AI capability is most directly applicable?

   • ANatural language processing to analyze customer reviews
   • BPredictive analytics to forecast weekly sales
   • CSpeech recognition to transcribe customer service calls
   • DImage recognition to detect and track people in video feeds
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A car manufacturer wants to use AI to identify defects in painted car bodies on the assembly line. They have high-resolution images of each car body. What should they implement?

   • AAn image recognition system that analyzes the images to detect paint defects such as scratches or bubbles.
   • BA predictive analytics model that forecasts which batches are likely to have defects based on production parameters.
   • CA natural language processing system that reads quality control reports to identify common defects.
   • DA diagnostic system that uses sensor data from the painting robots to predict defect likelihood.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A logistics company wants to allow warehouse workers to update inventory records hands-free while they are moving packages. Workers wear headsets and need to speak commands like 'move box 123 to zone B'. Which technology should they implement?

   • AAn image recognition system that scans barcodes on packages using the headset camera.
   • BA predictive system that forecasts which items will be moved next based on historical data.
   • CA natural language processing system that analyzes written inventory reports to identify trends.
   • DA speech recognition system that transcribes spoken commands and maps them to inventory actions.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   A hospital wants to automatically transcribe doctor-patient conversations into electronic health records to reduce documentation time. Which AI system is best suited for this business case?

   • ANatural language processing to summarize text documents
   • BSpeech recognition to convert spoken words into text
   • CRecommendation system to suggest treatment plans
   • DImage recognition to analyze medical images
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A hospital wants to reduce the time radiologists spend reviewing X-rays by flagging images that are likely to show fractures. They have a large archive of labeled X-rays. What should they build?

   • AAn image recognition system trained on labeled X-rays to detect and flag potential fractures.
   • BA predictive analytics model that forecasts the number of fracture cases expected each month.
   • CA natural language processing system that reads radiology reports to identify which patients had fractures.
   • DA diagnostic system that uses patient symptoms to predict the likelihood of a fracture.
   Reveal Solution Discussion Select an answer first