Statistical Analysis System (SAS) Programming Certification 2025 – 400 Free Practice Questions to Pass the Exam

The choice that contains an error in its variable handling involves misunderstanding the scope and purpose of the `drop` statement in the PROC PRINT step.

In statistical programming with SAS, the `drop` statement is used to exclude specific variables from the output dataset or reports. In the case of PROC PRINT, the `drop` statement can be applied when printing data, but it affects only the columns displayed in the output.

The specific issue with this choice is that it attempts to drop a variable named `sumsec`, which might not be present in the dataset `stresstest`. If `sumsec` does not exist in the `stresstest` dataset, it would lead to an error because SAS cannot find a variable that was specified to be dropped. This indicates a fundamental oversight in understanding the dataset’s structure.

In contrast, other options correctly handle variable inclusion and exclusion based on their contexts. The `keep` statement in PROC PRINT and the use of `drop` in the data step simply focus on managing variable display within the respective scopes and do not encounter similar issues with non-existent variables. This distinction is crucial for effective management of variable handling in SAS programming.