Question 1
AdvancedData for AI · Importance of Data Quality
A retail company is implementing Einstein Lead Scoring. The data administrator is preparing the dataset for the AI model. The process involves several steps shown in the diagram below. After deployment, the model shows poor performance and seems to be biased against leads from smaller, emerging industries.
Which step in the data preparation process is the most likely source of the introduced bias?
Answer and explanation
Correct answer: D
Step 4 explicitly removes any leads that do not belong to a predefined list of established industries. This introduces selection bias by systematically excluding data from smaller, emerging industries. As a result, the AI model never learns the patterns associated with successful leads from these sectors, leading it to perform poorly and appear biased against them.
