AI Foundations and Technology Ecosystem CRAGE Practice Questions (Page 9)

Questions 41–44

1. 41application · medium

   A financial institution is developing an AI model to approve personal loans. They have completed the data collection and model training phases. According to the AI lifecycle, which activity should they perform NEXT before deploying the model to production?

   • AImmediately deploy the model to production to start generating value.
   • BValidate the model on a holdout dataset and conduct fairness and bias testing.
   • CDelete the training data to comply with data minimization principles.
   • DMonitor the model's performance in real-time before any validation.
   Reveal Solution Discussion Select an answer first
2. 42foundation · easy

   What is a significant societal impact of the widespread deployment of AI-powered automation in the workplace?

   • AGuaranteed elimination of all manual labor jobs.
   • BImmediate reduction of the digital divide across all communities.
   • CComplete removal of human decision-making from all business processes.
   • DPotential job displacement in some sectors while creating new roles in others.
   Reveal Solution Discussion Select an answer first
4. 43expert · hard

   A research lab is developing a deep learning model for drug discovery. They have a massive dataset and need to train a large model. The lab has limited budget and must choose between purchasing on-premises GPUs or using cloud-based GPU instances. Which factor is most important for this decision?

   • AEase of collaboration with external partners
   • BSpeed of the internet connection
   • CAvailability of pre-trained models
   • DTotal cost of ownership over the project's duration
   Reveal Solution Discussion Select an answer first
5. 44application · medium

   An e-commerce company uses an AI recommendation system. They notice that the system is recommending products that are popular among a majority group but ignoring niche products preferred by minority groups. What is the most likely cause and appropriate response?

   • AThe model is biased due to imbalanced training data; the company should collect more data from minority groups and retrain.
   • BThe model is too complex; the company should simplify it.
   • CThe model is overfitting; the company should apply regularization.
   • DThe model is working correctly; the company should accept the recommendations.
   Reveal Solution Discussion Select an answer first