SAS Base Programming Certification 2025 – 400 Free Practice Questions to Pass the Exam

The correct response identifies the variables that are present in both data sets, work.boston and work.dallas. In the context of SAS programming, when creating multiple data sets, it is common to filter or manipulate the data in ways that might lead to the inclusion of specific variables in both outputs.

In this scenario, the variables Price and Orig are crucial for understanding this output. Price typically refers to the cost associated with an item or service being analyzed, while Orig likely denotes the origin of the data related to that price. These variables may be consistently available in the datasets generated for both Boston and Dallas, which is essential for comparative analysis.

The other options include variables that might not have been standardized across both datasets, leading to a lack of universality in the output. Variables such as City or Equipment may only be relevant to one dataset or the other, thus not appearing in both. This highlights the importance of understanding how to maintain consistency and relevance when generating multiple data sets from a data source.