Incident Response Management Specific to AI AAIA Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   What is data poisoning in the context of AI incidents?

   • AThe deliberate or accidental corruption of training data to degrade model performance
   • BThe process of encrypting training data
   • CThe duplication of training data to increase dataset size
   • DThe deletion of old training data
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   Which of the following is a recovery action after an AI incident?

   • ARestoring the AI system to normal operation
   • BConducting a post-mortem review
   • CChanging the model's hyperparameters
   • DDeleting all incident logs
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   Which of the following is a unique challenge in AI incident response?

   • AThe requirement to use a specific programming language
   • BThe need to reboot servers more frequently
   • CThe need to purchase more GPUs
   • DModel opacity, making it difficult to understand why an incident occurred
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which of the following is a common method for detecting data drift in an AI system?

   • AConducting user satisfaction surveys
   • BMonitoring the statistical distribution of input data over time
   • CReviewing the model's source code for bugs
   • DChecking the physical security of the server room
   Reveal Solution Discussion Select an answer first
6. 20application · easy

   During an AI incident, the response team has detected that a recommendation model is being manipulated by a botnet to promote certain products. The team has isolated the model from the production environment. According to the AI incident response lifecycle, what phase is the team currently in?

   • AContainment
   • BEradication
   • CDetection
   • DRecovery
   Reveal Solution Discussion Select an answer first