|Question 8Verbal

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Text
Researcher 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 furniture stores, florists, and other businesses and map their locations. This approach has some limits—data from Places API tend to be restricted to places that the 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It depends upon data that are likely to be outdated.
A
It is based on recent advancements from other fields that have yet to be applied outside of those contexts.
B
It is likely to contribute to inaccurate identifications of the boundaries of specific neighborhoods.
C
It may lead to conclusions that are not reflective of all the amenities in a given neighborhood.
D