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 6)

Questions 26–28

1. 26expert · hard

   An online news platform wants to increase reader engagement by recommending articles. They have a small user base and limited interaction data. They also want to avoid the cold-start problem for new users. Which approach is most effective given these constraints?

   • AUse a predictive analytics model to forecast which articles will be popular overall and recommend those to everyone.
   • BUse a natural language processing system to generate summaries of articles and recommend the shortest ones.
   • CUse a content-based recommendation system that suggests articles similar to those a user has read, based on article text and metadata.
   • DUse a collaborative filtering system that relies on the preferences of similar users.
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A customer service department receives a high volume of emails and chat messages. They want to automatically categorize each message by topic (billing, technical, etc.) and route it to the appropriate team. What should they implement?

   • AA recommendation system that suggests responses based on the sender's past messages.
   • BA speech recognition system that transcribes phone calls and then categorizes them.
   • CA natural language processing system that classifies text messages into predefined categories.
   • DAn image recognition system that analyzes screenshots of the messages to identify keywords.
   Reveal Solution Discussion Select an answer first
3. 28application · medium

   A pharmaceutical company has a large database of chemical compounds and their properties. They want to identify previously unknown relationships between compound structures and potential therapeutic effects to guide new drug discovery. What type of system is most appropriate?

   • AA recommendation system that suggests similar compounds to researchers based on their past searches.
   • BA predictive analytics model that forecasts the success rate of clinical trials for each compound.
   • CA diagnostic system that identifies which diseases a specific compound might treat based on known symptoms.
   • DA discovery system that uses data mining and pattern recognition to find hidden correlations in the compound data.
   Reveal Solution Discussion Select an answer first