Exam AAIA Topic 1 Question 186 Discussion
Actual exam question for ISACA's AAIA exam
Question #: 186
Topic #: 1
Question #: 186
Topic #: 1
An IS auditor is reviewing a dataset related to a restaurant ' s food delivery process. Which of the following data preparation techniques should be used to ensure that no single feature dominates and all fields are weighted appropriately?
Suggested Answer: D Vote an answer
In many AI models (like K-means or SVM), features with larger numerical values can " dominate " the model
' s logic simply because they are mathematically larger, not because they are more important. For example, " Distance " (measured in thousands of meters) will outweigh " Delivery Rating " (measured from 1-5). " Scaling " (or normalization) converts all numeric features into a common range (e.g., 0 to 1). This ensures that the model treats all fields with appropriate weight based on their actual significance. Converting postal codes to integers (Option A) is actually a risk because it implies a false numerical order to geographic locations.
' s logic simply because they are mathematically larger, not because they are more important. For example, " Distance " (measured in thousands of meters) will outweigh " Delivery Rating " (measured from 1-5). " Scaling " (or normalization) converts all numeric features into a common range (e.g., 0 to 1). This ensures that the model treats all fields with appropriate weight based on their actual significance. Converting postal codes to integers (Option A) is actually a risk because it implies a false numerical order to geographic locations.
by Maximilian at Jun 19, 2026, 12:37 AM
0
0
0
10
Comments
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
Report Comment
Commenting
You can sign-up / login (it's free).