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 2)

Questions 6–10

1. 6foundation · easy

   A customer service department wants to automatically categorize incoming emails by topic (e.g., billing, technical support, returns) to route them to the appropriate team. Which AI system is best suited for this business case?

   • ARecommendation system to suggest replies to customers
   • BImage recognition to analyze attached screenshots
   • CNatural language processing to understand and classify text content
   • DSpeech recognition to transcribe voicemails
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A global customer support center receives inquiries via phone calls, emails, and chat. They want to automatically route each inquiry to the appropriate department and also provide real-time transcription of phone calls for quality assurance. They have limited IT resources and want to minimize the number of systems to manage. What is the most efficient approach?

   • AUse only an NLP system that can also process audio by treating it as text after manual transcription.
   • BImplement a single NLP platform that handles text classification for emails and chat, and integrates with a speech recognition service for phone call transcription and routing.
   • CUse only a speech recognition system to transcribe all communications, including emails and chat, by converting them to audio first.
   • DDeploy separate systems: one for NLP on text and another for speech recognition, without integration.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   A manufacturing plant wants to automatically detect when a machine is about to fail so maintenance can be scheduled before breakdowns occur. Which AI system is most directly applicable?

   • ADiagnostic system that monitors sensor data to identify fault conditions
   • BImage recognition to analyze product photos
   • CRecommendation system to suggest spare parts
   • DNatural language processing to read maintenance manuals
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   A hospital wants to assist radiologists by automatically identifying potential tumors in MRI scans. Which AI system is best suited for this business case?

   • APredictive analytics to forecast patient admission rates
   • BRecommendation system to suggest treatment plans
   • CSpeech recognition to transcribe radiologist notes
   • DDiagnostic system that analyzes medical images to detect abnormalities
   Reveal Solution Discussion Select an answer first
6. 10expert · hard

   A hospital wants to use AI to assist in diagnosing skin conditions from photos taken by patients. They have a dataset of labeled skin images, but the images vary in quality and lighting. They also need to ensure the system provides explanations for its diagnoses to gain clinician trust. What is the most important consideration?

   • AUse a diagnostic system that relies on patient-reported symptoms rather than images, to avoid image quality issues.
   • BUse a predictive analytics model to forecast the likelihood of skin cancer based on patient demographics.
   • CDeploy a simple image recognition model that is fast, even if it is less accurate on poor-quality images.
   • DTrain an image recognition system on a diverse dataset that includes varied lighting and quality, and use explainable AI techniques to provide reasoning for each diagnosis.
   Reveal Solution Discussion Select an answer first