AI Threat and Vulnerability Management AAISM Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which mitigation strategy involves cleaning or filtering input data before it is fed to the model?

   • AModel encryption
   • BData augmentation
   • CInput sanitization
   • DModel compression
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   When assessing vulnerabilities in an AI data pipeline, which of the following should be evaluated?

   • AThe programming language used for the pipeline
   • BThe integrity of data sources and transformation steps
   • CThe number of rows in the training dataset
   • DThe color scheme of the data visualization dashboards
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   In threat modeling for AI systems, what is a trust boundary?

   • AA point where data or control passes from one trust level to another
   • BA data label used to classify training data
   • CA firewall rule that blocks all incoming traffic
   • DA cryptographic key used to sign model updates
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   What is the correct order of the vulnerability management lifecycle for AI?

   • AVerify, remediate, identify, prioritize
   • BIdentify, prioritize, remediate, verify
   • CRemediate, identify, verify, prioritize
   • DPrioritize, verify, identify, remediate
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   Which activity is part of forensic analysis in an AI incident?

   • AChanging the model's hyperparameters
   • BRestarting the model server
   • CImmediately deleting all logs to prevent data leakage
   • DExamining model logs to trace how the attack occurred
   Reveal Solution Discussion Select an answer first