AI Asset and Data Life Cycle Management AAISM Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   Which of the following correctly lists the typical stages of an AI asset's life cycle?

   • ACollection, storage, and deletion
   • BConception, development, deployment, maintenance, and retirement
   • CPlanning, budgeting, and execution
   • DDesign, coding, testing, and release
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   What is the PRIMARY purpose of data retention policies?

   • ATo maximize the amount of data stored indefinitely
   • BTo define how long data should be kept to meet legal and business requirements
   • CTo ensure all data is deleted immediately after collection
   • DTo encrypt data before storage
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   A company has a customer churn prediction model in production. The model's accuracy has remained stable, but the data science team notices that the average confidence score of the model's predictions has been steadily decreasing. What is the MOST likely cause of this phenomenon?

   • AThe model is experiencing data drift, where the distribution of input data is shifting away from the training data distribution.
   • BThe model is being attacked by adversarial inputs.
   • CThe model's hyperparameters need to be tuned.
   • DThe model is overfitting to the training data.
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A financial services firm discovers that a data science team has been using a third-party sentiment analysis API for customer complaints, but this API was never recorded in the corporate IT asset management system. The API processes customer names and account numbers. The CISO wants to ensure this type of situation is prevented going forward. What is the MOST effective first step?

   • ARetrain the data science team on the acceptable use policy for third-party services.
   • BConduct a discovery exercise to identify all AI assets, including APIs, models, and datasets, and add them to a centralized AI asset inventory.
   • CRequire all data science projects to obtain legal review before using any external service.
   • DImmediately block all outbound traffic to the third-party API to prevent further data exposure.
   Reveal Solution Discussion Select an answer first
6. 30foundation · easy

   Which of the following factors is MOST relevant when classifying an AI asset's regulatory impact?

   • AThe programming language used to develop the model
   • BThe color scheme used in the model's user interface
   • CThe number of developers who worked on the model
   • DThe applicable data protection laws and industry regulations
   Reveal Solution Discussion Select an answer first