Conduct Risk Assessment(s) (e.g., Security, Safety, Ethics) PMI-CPMAI Practice Questions (Page 1)

Questions 1–5

1. 1expert · hard

   A company is developing an AI system to control a self-driving delivery robot that operates in pedestrian areas. The system uses a computer vision model to detect and avoid obstacles. During safety testing, the team identifies a failure mode where the robot fails to detect small children in certain lighting conditions. The team is conducting a safety impact analysis to determine the severity of this risk. Which of the following factors is the most important to consider when assessing the severity of this failure mode?

   • AThe likelihood of the failure mode occurring in real-world conditions.
   • BThe number of robots that will be deployed with this system.
   • CThe potential for the robot to cause serious injury or death to a child if it fails to detect them.
   • DThe cost of implementing a mitigation strategy to address the failure mode.
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   Which ethical principle is most directly concerned with the ability to explain and understand how an AI system arrives at its decisions?

   • APrivacy
   • BAccountability
   • CTransparency
   • DFairness
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A manufacturing company uses an AI system to control a robotic arm on an assembly line. The system is critical for production, and any failure would cause significant downtime. The company is developing a contingency plan to address potential AI system failures. Which of the following is the most important element to include in this contingency plan?

   • AA budget for purchasing a new AI system if the current one fails.
   • BA documented procedure for switching to a manual or semi-automated mode of operation for the robotic arm.
   • CA detailed technical description of the AI model's architecture and training data.
   • DA list of all the data scientists who are responsible for maintaining the AI system.
   Reveal Solution Discussion Select an answer first
5. 4expert · hard

   A large e-commerce company uses a recommendation system to suggest products to customers. The system is trained on user behavior data and is updated daily. The company's security team is concerned about the risk of data poisoning. They have identified that an attacker could potentially inject fake user behavior data into the training pipeline. The team is evaluating mitigation strategies. Which of the following strategies is the most effective in mitigating the risk of data poisoning?

   • AImplement robust data validation and anomaly detection to identify and remove suspicious data points before they are used for training.
   • BLimit the number of users who can interact with the recommendation system to reduce the attack surface.
   • CUse a more complex machine learning algorithm that is inherently more resistant to data poisoning.
   • DIncrease the frequency of model retraining to ensure that the model is always up-to-date with the latest data.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   An AI system that processes loan applications goes down for several hours, preventing customers from applying for loans. What is the primary business continuity risk in this scenario?

   • AIncreased cybersecurity vulnerabilities
   • BReputational damage from negative press
   • CInterruption of critical business operations
   • DLoss of customer data
   Reveal Solution Discussion Select an answer first