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#Questão 1086342 - Língua Inglesa, Interpretação de texto | Reading comprehension, CESPE / CEBRASPE, 2025, ANM, Analista Administrativo - Especialidade: Qualquer Área de Formação

        For the first time, 2025 will see quantum computers leave labs and research institutions and actually deploy into the networks and data centers of real-world customers. For quantum computing companies, this will be a real test of steel.

        It’s one thing to have a groundbreaking, powerful quantum computer that only works on its very best day — when the lab conditions are perfect and when the team of PhDs operating it are at the top of their game. But the reality is that quantum computers need to work on their worst days too — in the real world, in real organizations. The quantum computing companies that land on top will be the ones that have built for this challenge since day one.

        People tend to hear the words “quantum computing” and jump straight to science fiction or the multiverse. And while it seems daunting, we’ve actually reached a point where the “quantum” part of quantum computing is the easiest bit — it’s the “computing” that is inherently complex. For those on the front lines of building powerful quantum computers, this means it’s no longer a physics challenge — it’s an engineering one.

        Companies won’t need to know the ins and outs of quantum computers in order to leverage its unprecedented power — they’ll simply benefit from its ability to solve the problems that could never be solved on classical computers.


Internet:<thequantuminsider.com>  (adapted). 

Regarding the text, judge the following item.


Users will not need to understand the inner workings of quantum computing to benefit from its power.

Leia o quadrinho para responder à questão de números. 



(Calvin and Hobbes by Bill Watterson. https://www.gocomics.com/search/ full_results?category=comic&page=2&short_name=calvinandhobbes&terms =elementary+school)

Na interação entre o tigre e o menino, a fala que apresenta ironia é

Leia o quadrinho para responder à questão de números. 



(Calvin and Hobbes by Bill Watterson. https://www.gocomics.com/search/ full_results?category=comic&page=2&short_name=calvinandhobbes&terms =elementary+school)

O quadrinho permite inferir que 

        In the 20th century, we made tremendous advances in discovering fundamental principles in different scientific disciplines that created major breakthroughs in management and technology for agricultural systems, mostly by empirical means. However, as we enter the 21st century, agricultural research has more difficult and complex problems to solve.


        The environmental consciousness of the general public is requiring us to modify farm management to protect water, air, and soil quality, while staying economically profitable. At the same time, market-based global competition in agricultural products is challenging economic viability of the traditional agricultural systems, and requires the development of new and dynamic production systems. Fortunately, the new electronic technologies can provide us a vast amount of real-time information about crop conditions and near-term weather via remote sensing by satellites or ground-based instruments and the Internet, that can be utilized to develop a whole new level of management. However, we need the means to capture and make sense of this vast amount of site-specific data.


        Our customers, the agricultural producers, are asking for a quicker transfer of research results in an integrated usable form for site-specific management. Such a request can only be met with system models, because system models are indeed the integration and quantification of current knowledge based on fundamental principles and laws. Models enhance understanding of data taken under certain conditions and help extrapolate their applications to other conditions and locations.


Lajpat R. Ahuja; Liwang Ma; Terry A. Howell. Whole System Integration and Modeling — Essential to

Agricultural Science and Technology in the 21st Century. In: Lajpat R. Ahuja; Liwang Ma; Terry A. Howell

(eds.) Agricultural system models in field research and technology transfer.

Boca Raton, CRC Press LLC, 2002 (adapted). 

Considering the text presented above, judge the following item. 


The text focuses on showing how the advances made in the 20th century were essential to the development of the notion of agricultural systems.  

#Questão 1086343 - Língua Inglesa, Interpretação de texto | Reading comprehension, CESPE / CEBRASPE, 2025, ANM, Analista Administrativo - Especialidade: Qualquer Área de Formação

        For the first time, 2025 will see quantum computers leave labs and research institutions and actually deploy into the networks and data centers of real-world customers. For quantum computing companies, this will be a real test of steel.

        It’s one thing to have a groundbreaking, powerful quantum computer that only works on its very best day — when the lab conditions are perfect and when the team of PhDs operating it are at the top of their game. But the reality is that quantum computers need to work on their worst days too — in the real world, in real organizations. The quantum computing companies that land on top will be the ones that have built for this challenge since day one.

        People tend to hear the words “quantum computing” and jump straight to science fiction or the multiverse. And while it seems daunting, we’ve actually reached a point where the “quantum” part of quantum computing is the easiest bit — it’s the “computing” that is inherently complex. For those on the front lines of building powerful quantum computers, this means it’s no longer a physics challenge — it’s an engineering one.

        Companies won’t need to know the ins and outs of quantum computers in order to leverage its unprecedented power — they’ll simply benefit from its ability to solve the problems that could never be solved on classical computers.


Internet:<thequantuminsider.com>  (adapted). 

Regarding the text, judge the following item.


The main goal of quantum computing is improving classical computing power to solve problems faster.

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