AI Foundations and Technology Ecosystem CRAGE Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A bank is developing an AI system to detect fraudulent transactions. The system will be used by fraud analysts. Which stakeholders should be involved in the design phase to ensure the system is useful and trustworthy?

   • AOnly external consultants, because they are objective.
   • BFraud analysts, data scientists, and compliance officers.
   • COnly senior management, because they make strategic decisions.
   • DOnly data scientists, because they understand the algorithms.
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A hospital is implementing an AI system to assist radiologists in detecting tumors on X-rays. The system provides a confidence score with each finding. What is the primary societal benefit and risk of this application?

   • ABenefit: AI is always more accurate than humans; Risk: none.
   • BBenefit: AI replaces radiologists; Risk: radiologists lose jobs.
   • CBenefit: AI eliminates the need for human oversight; Risk: increased cost.
   • DBenefit: reduced radiologist workload; Risk: over-reliance on AI leading to missed diagnoses if the system is wrong.
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   During which stage of the AI lifecycle is model drift most likely to be detected?

   • ADevelopment.
   • BDeployment.
   • CMonitoring.
   • DDesign.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   Which of the following is the most accurate definition of artificial intelligence?

   • AA branch of computer science that creates systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, and perception.
   • BA programming paradigm where all decisions are made by explicit if-then rules written by developers.
   • CA set of algorithms that can only be executed on specialized hardware like GPUs.
   • DA database management system that automatically optimizes queries using neural networks.
   Reveal Solution Discussion Select an answer first
6. 5application · easy

   A team is developing an AI model to predict equipment failure in a manufacturing plant. They have collected sensor data and are now cleaning the data, handling missing values, and normalizing features. Which lifecycle stage are they in?

   • AProblem definition
   • BModel evaluation
   • CData preparation
   • DModel deployment
   Reveal Solution Discussion Select an answer first