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11 Dec 2023, 07:00
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D
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Difficulty:
95%
(hard)
Question Stats:
36% (02:03) correct
64%
(02:09)
wrong
based on 491
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Not Attempted Yet
12 Days of Christmas 🎅 GMAT Competition with Lots of Questions & Fun
In the realm of software development, it has been observed that certain programming languages become predominant in specific industries. For instance, language A is widely used in the finance sector, while language B is more prevalent in the tech startup community. Experts in software engineering suggest that this pattern is not a mere coincidence but a result of targeted marketing by the companies that developed these languages. They argue that these companies have strategically influenced the adoption of their programming languages within different industries.
Which of the following would it be most useful to establish in order to evaluate the experts' hypothesis?
(A) Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
(B) Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
(C) Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
(D) Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
(E) Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
In the realm of software development, it has been observed that certain programming languages become predominant in specific industries. For instance, language A is widely used in the finance sector, while language B is more prevalent in the tech startup community. Experts in software engineering suggest that this pattern is not a mere coincidence but a result of targeted marketing by the companies that developed these languages. They argue that these companies have strategically influenced the adoption of their programming languages within different industries.
Which of the following would it be most useful to establish in order to evaluate the experts' hypothesis?
(A) Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
(B) Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
(C) Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
(D) Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
(E) Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
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11 Dec 2023, 08:15
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Bunuel
12 Days of Christmas 🎅 GMAT Competition with Lots of Questions & Fun
In the realm of software development, it has been observed that certain programming languages become predominant in specific industries. For instance, language A is widely used in the finance sector, while language B is more prevalent in the tech startup community. Experts in software engineering suggest that this pattern is not a mere coincidence but a result of targeted marketing by the companies that developed these languages. They argue that these companies have strategically influenced the adoption of their programming languages within different industries.
Which of the following would it be most useful to establish in order to evaluate the experts' hypothesis?
(A) Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
(B) Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
(C) Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
(D) Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
(E) Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
In the realm of software development, it has been observed that certain programming languages become predominant in specific industries. For instance, language A is widely used in the finance sector, while language B is more prevalent in the tech startup community. Experts in software engineering suggest that this pattern is not a mere coincidence but a result of targeted marketing by the companies that developed these languages. They argue that these companies have strategically influenced the adoption of their programming languages within different industries.
Which of the following would it be most useful to establish in order to evaluate the experts' hypothesis?
(A) Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
(B) Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
(C) Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
(D) Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
(E) Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
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GMAT Club's Official Explanation:
D. Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
- This option directly addresses the experts' hypothesis that the prevalence of certain programming languages in specific industries is due to targeted marketing by the companies that developed these languages. Establishing whether there have been partnerships or sponsorships would provide clear evidence of such targeted marketing efforts, either supporting or weakening the hypothesis.
The other options, while relevant, do not directly address the hypothesis about targeted marketing:
A. Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
- This option suggests a different cause (inherent suitability of the languages for specific applications) for the prevalence of these languages in certain industries, rather than targeted marketing.
B. Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
- Possible answer but not as good as D. While historical precedent could provide context, it does not directly answer whether such marketing efforts occurred for languages A and B. An event happening in the past, proves that it is possible, but does not prove the causality.
C. Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
- This option addresses the outcome of adopting these languages but does not directly relate to the question of whether their prevalence is due to targeted marketing.
E. Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
- This addresses the emergence of new languages but does not directly contribute to evaluating the hypothesis about targeted marketing by the developers of languages A and B.
Therefore, (D) most directly provides the information needed to evaluate the hypothesis regarding the influence of targeted marketing efforts on the adoption of specific programming languages in different industries.
General Discussion
11 Dec 2023, 07:55
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Bunuel
12 Days of Christmas 🎅 GMAT Competition with Lots of Questions & Fun
In the realm of software development, it has been observed that certain programming languages become predominant in specific industries. For instance, language A is widely used in the finance sector, while language B is more prevalent in the tech startup community. Experts in software engineering suggest that this pattern is not a mere coincidence but a result of targeted marketing by the companies that developed these languages. They argue that these companies have strategically influenced the adoption of their programming languages within different industries.
Which of the following would it be most useful to establish in order to evaluate the experts' hypothesis?
(A) Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
(B) Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
(C) Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
(D) Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
(E) Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
In the realm of software development, it has been observed that certain programming languages become predominant in specific industries. For instance, language A is widely used in the finance sector, while language B is more prevalent in the tech startup community. Experts in software engineering suggest that this pattern is not a mere coincidence but a result of targeted marketing by the companies that developed these languages. They argue that these companies have strategically influenced the adoption of their programming languages within different industries.
Which of the following would it be most useful to establish in order to evaluate the experts' hypothesis?
(A) Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
(B) Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
(C) Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
(D) Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
(E) Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
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IMO the answer is D
Conclusion: this pattern is not a mere coincidence but a result of targeted marketing by the companies that developed these languages.
(A) Whether the inherent features of language A are particularly suited to applications commonly used in finance, and similarly for language B in tech startups.
The conclusion of the argument is around the targeted marketing by the companies that developed these languages. The application or features of the languages are not what the author's conclusion is about. Hence, we can eliminate this option.
(B) Whether there has been a historical precedent of programming languages becoming popular in specific industries due to targeted marketing efforts.
We are not interested in knowing the historical precedent. The passage talks about the current situation. Hence, this is out of scope.
(C) Whether companies in the finance sector and tech startup community have reported higher efficiency and productivity after adopting languages A and B, respectively.
Efficiency is not the contention of the author. We have to find an option that aligns with the conclusion. Hence, we can eliminate this option.
(D) Whether the developers of languages A and B have engaged in partnerships or sponsorships with leading companies in their targeted industries.
This is correct. If the developers were in partnership with the leading companies it gives a strong reason to believe that these companies have strategically influenced the adoption of their programming languages within different industries.
(E) Whether new programming languages, with capabilities similar to languages A and B, have emerged and been adopted in other industries.
Out of scope as our conclusion is around the current programing languages and not the new programing languages.
IMO D
