|Question 8Verbal

Source Texts

Text
Researchers César A. Hidalgo, Elisa Castañer, and Andres Sevtsuk created a computer model to predict the mix of businesses and places of interest found in a given neighborhood. The team used data from the Google Places API service to help identify movie theaters, gyms, and other businesses and map their locations. This approach has some limits—data from Places API tend to be restricted to places that are customer facing—but the data set nonetheless provides an extremely reliable source to study colocation patterns of neighborhood amenities.
According to the text, what is one potential drawback of Hidalgo and colleagues' method?
It may lead to conclusions that are not reflective of all the amenities in a given neighborhood.
A
It is likely to contribute to inaccurate identifications of the boundaries of specific neighborhoods.
B
It is based on recent advancements from other fields that have yet to be applied outside of those contexts.
C
It depends upon data that are likely to be outdated.
D