Comprehend Artificial Intelligence (AI)/Machine Learning (ML) CCSP Practice Questions (Page 4)

Questions 16–20

1. 16expert · hard

   A company uses an AI/ML-based system to analyze customer data for fraud detection. The system processes personal data of customers in California, and the company must comply with the California Consumer Privacy Act (CCPA). The company also uses a third-party AI/ML service to process the data. Which practice is essential to ensure CCPA compliance?

   • AAnonymize all customer data before sending it to the third-party service.
   • BEnsure that the third-party service has a data processing agreement that includes CCPA requirements.
   • CObtain consent from customers before processing their data for fraud detection.
   • DStore all customer data on-premises to avoid CCPA jurisdiction.
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A cloud security operations center receives a high volume of low-severity alerts daily. The team wants to reduce the manual effort required to triage and respond to these alerts while ensuring that critical incidents are escalated to human analysts. Which solution best addresses this requirement?

   • AIncrease the number of security analysts to manually review all alerts.
   • BUse a simple email notification system to alert analysts of every event.
   • CDeploy a SOAR platform to automate the initial triage and response for low-severity alerts.
   • DDisable all low-severity alerts to reduce noise.
   Reveal Solution Discussion Select an answer first
4. 18expert · hard

   A security team uses an AI/ML model to prioritize security alerts based on user behavior. The model is trained on data that includes user roles, access patterns, and location. The team discovers that the model is assigning higher risk scores to users in certain geographic regions, leading to potential bias. The company operates globally and must comply with data protection regulations. Which action is most appropriate to address the bias while maintaining compliance?

   • AConduct a bias audit and implement fairness constraints in the model.
   • BAdjust the model's algorithm to explicitly account for geographic differences in risk.
   • CRemove geographic location from the training data to eliminate bias.
   • DIgnore the bias because the model is only used for prioritization, not final decisions.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which practice directly helps ensure the authenticity of data used to train an AI/ML model?

   • AUsing only data from a single internal source
   • BEncrypting the data at rest
   • CVerifying the data's origin and checking for signs of tampering
   • DStoring the data in a public cloud bucket
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   Which method is most effective for verifying that data fed into an AI/ML system is from a trusted origin?

   • ARelying on the data's timestamp
   • BStoring data in a database
   • CUsing cryptographic hashes to confirm data integrity
   • DChecking the data's file size
   Reveal Solution Discussion Select an answer first