Choosing 'No Substitution' for Substitute Missing, Null and Empty by attribute can result in null or missing values in your dataset.

• A. False
• B. True
• C. Not sure
• D. It depends

Answer: (B)

Choosing No Substitution means the operation does not fill in missing, null, or empty values. Features that have a missing attribute will carry that missing value forward, so the output dataset can include nulls or blanks. This is why selecting No Substitution can produce null or missing values in the result. If you want to prevent that, substitute with a value from another attribute or with a default constant. Keep in mind some formats treat nulls differently, but the basic idea is that not substituting preserves the missing state, which can show up as nulls in the output.