The Role of Data in Effective AI Systems AIE Practice Questions (Page 9)

Questions 41–43

1. 41foundation · easy

   Why is data lifecycle management important for maintaining effective AI systems?

   • AIt guarantees that AI models will be free of bias
   • BIt automatically improves the accuracy of AI models
   • CIt ensures data remains accurate, available, and compliant throughout its use
   • DIt eliminates the need for data preprocessing
   Reveal Solution Discussion Select an answer first
2. 42foundation · easy

   Which statement best defines data quality in the context of AI systems?

   • AThe total volume of data available for training an AI model
   • BThe degree to which data meets the requirements for its intended use in training and operating AI models
   • CThe number of data sources integrated into a single dataset
   • DThe speed at which data can be ingested into an AI system
   Reveal Solution Discussion Select an answer first
3. 43expert · hard

   A company has an AI model that was trained on data collected three years ago. The model's performance has declined because customer behavior has changed. The company also has a data retention policy that requires deleting data older than five years. What is the best course of action?

   • AContinue using the current model without retraining.
   • BKeep the old data and retrain the model on it to improve performance.
   • CDelete the old data immediately to comply with the retention policy.
   • DRetrain the model with recent data and archive the old data for potential future analysis.
   Reveal Solution Discussion Select an answer first