AI Foundations and Technology Ecosystem CRAGE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Why is it important to include end users as stakeholders in the AI development process?

   • AThey are responsible for monitoring the AI system after deployment.
   • BThey can provide insights into real-world needs and potential harms of the AI system.
   • CThey are the only ones who can write the training data.
   • DThey are legally required to approve all AI model architectures.
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which of the following is the correct sequence of stages in the AI system lifecycle?

   • ADesign, development, deployment, monitoring.
   • BMonitoring, deployment, development, design.
   • CDevelopment, monitoring, design, deployment.
   • DDeployment, design, monitoring, development.
   Reveal Solution Discussion Select an answer first
4. 8application · easy

   A retail company wants to automate customer support. They are evaluating two approaches: a rule-based chatbot that follows predefined decision trees, and a machine learning model that learns from past conversations. Which statement correctly distinguishes these approaches?

   • AThe rule-based chatbot is a form of AI, while the machine learning model is not.
   • BThe rule-based chatbot is deep learning, while the machine learning model is narrow AI.
   • CBoth are AI, but the machine learning model learns from data, while the rule-based chatbot follows predefined rules.
   • DThe machine learning model is a subset of AI, while the rule-based chatbot is not considered AI.
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A city government is deploying an AI system to optimize traffic light timing across the city. The system uses real-time data from sensors and cameras. Which stakeholder group is most directly affected by the system's decisions and should be included in the governance process?

   • AThe city's IT department that maintains the servers.
   • BCommuters and pedestrians who experience the traffic flow changes.
   • CThe data scientists who trained the model.
   • DThe software vendor that developed the AI model.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A startup is building an AI-powered recommendation engine. They have limited compute resources and need to choose a platform. Which option best aligns with their need for scalability and cost-efficiency?

   • AOutsource all ML work to a third-party consultancy without internal involvement.
   • BBuild and train models on cloud-based ML platforms that offer pay-as-you-go GPU instances.
   • CUse only open-source libraries on local laptops.
   • DPurchase a dedicated on-premises GPU cluster for maximum control.
   Reveal Solution Discussion Select an answer first