Determine the Differences Between Predictive AI and Generative AI CERTIFIED-AI-EXPERT Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   Which of the following is a typical use case for predictive AI?

   • APredicting equipment failure before it occurs
   • BWriting a news article from a few bullet points
   • CCreating a synthetic dataset for training other models
   • DGenerating realistic product images for an e-commerce site
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A bank is deploying AI for two tasks: approving loan applications and generating marketing emails. Which ethical consideration is most specific to the generative task?

   • AEnsuring the loan approval model does not discriminate against protected groups.
   • BEnsuring the generated emails do not misrepresent the bank's products or services.
   • CEnsuring the loan approval model uses only historical data that is representative.
   • DEnsuring the marketing emails are sent only to customers who have opted in.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   Which statement about data requirements is correct?

   • AGenerative AI models always require labeled data for training
   • BPredictive AI typically uses labeled historical data, while generative AI can leverage large unlabeled datasets
   • CPredictive AI models can be trained without any historical data
   • DBoth types of AI require the same type and amount of data
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A healthcare provider wants to use AI to (1) predict patient no-show rates and (2) generate synthetic patient records for research. Which output type matches each task?

   • ANew synthetic patient records; a probability score for no-show.
   • BA probability score for no-show; new synthetic patient records.
   • CA classification label for no-show; a classification label for synthetic records.
   • DA time-series forecast of no-shows; a time-series forecast of record generation.
   Reveal Solution Discussion Select an answer first
6. 30expert · hard

   A research lab has a limited budget and must choose between two projects: (A) a predictive model to forecast energy consumption from a small labeled dataset, and (B) a generative model to synthesize new molecular structures from a large unlabeled dataset. Which trade-off is most critical in their decision?

   • AProject B will require labeled data, which the lab does not have.
   • BProject A will require more computational resources because labeled data is harder to process.
   • CProject B will likely require significantly more computational resources and data, which may exceed the lab's budget.
   • DProject A will produce new data, while Project B will produce predictions.
   Reveal Solution Discussion Select an answer first