Identify Features of Generative AI Solutions AI-900 Practice Questions (Page 10)

Questions 46–50

1. 46foundation · easy

   Why is it important to ensure fairness in generative AI models?

   • ATo increase the model's accuracy on all inputs
   • BTo avoid producing outputs that unfairly harm or exclude certain groups
   • CTo reduce the storage space needed for the model
   • DTo make the models run faster
   Reveal Solution Discussion Select an answer first
2. 47foundation · easy

   Which Microsoft responsible AI principle is most directly concerned with ensuring that generative AI models do not unfairly discriminate against certain groups?

   • AInclusiveness
   • BReliability and safety
   • CPrivacy and security
   • DFairness
   Reveal Solution Discussion Select an answer first
4. 48application · medium

   A design agency wants to generate realistic images of new product packaging for client presentations. They have a small set of existing packaging images. Which model type should they use to create new, realistic packaging images?

   • AA transformer for text generation
   • BA VAE
   • CA regression model
   • DA GAN
   Reveal Solution Discussion Select an answer first
5. 49application · medium

   A marketing team wants to generate personalized product descriptions for thousands of items in an online catalog. They need to ensure that the generated text does not include offensive or biased language. Which combination of actions should they take?

   • AUse a rule-based template system to create descriptions and rely on the original templates to avoid bias.
   • BUse a GAN to generate text and manually review a random sample of outputs.
   • CUse a transformer-based text generation model and apply content filtering and bias evaluation before publishing.
   • DUse a VAE to generate embeddings and then decode them into text without any additional checks.
   Reveal Solution Discussion Select an answer first
6. 50foundation · easy

   Why is accountability important in generative AI solutions?

   • AIt allows organizations to address harmful outputs and take corrective action
   • BIt ensures the AI model is always correct
   • CIt makes the AI model fully autonomous
   • DIt guarantees the AI model will be profitable
   Reveal Solution Discussion Select an answer first