Inglês
Adjetivos | AdjectivesUECE · 2015MédioEntre para guardar nos favoritos
The ING words: increasing (line 19), rating
(line 44), polling (line 47) are respectively
Questões de Inglês do ENEM
Questões de Inglês, da área de Linguagens, com gabarito em cada página.
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307 questões encontradas. Mostrando a página 7 de 16.
1CF501C7-B8 1CF1BB0B-B8 Inglês
Análise sintática | Syntax ParsingUECE · 2015DifícilEntre para guardar nos favoritosThe sentence “the men who command the scandal-plagued Congress are actually increasing their power over the scandal-plagued president, Dilma Rousseff” (lines 17-20)contains a/an1CEEC734-B8 Inglês
Interpretação de texto | Reading comprehensionUECE · 2015MédioEntre para guardar nos favoritosSo far, there has been no evidence to indicate that the president has1CD9DB91-B8 Inglês
Interpretação de texto | Reading comprehensionUECE · 2015FácilEntre para guardar nos favoritosOne of the accusations against the head of the Brazilian Senate is that he1CD6F43B-B8 Inglês
Interpretação de texto | Reading comprehensionUECE · 2015FácilEntre para guardar nos favoritosThe text refers to Ms. Rousseff as a1CD3204F-B8 Inglês
Interpretação de texto | Reading comprehensionUECE · 2015DifícilEntre para guardar nos favoritosOne of the facts mentioned in the text about the political reality in Brazil is that34FC7FC4-B2 Inglês
Voz Ativa e Passiva | Passive and Active VoiceFATEC · 2015MédioEntre para guardar nos favoritosTechnology isn’t working
The digital revolution has yet to fulfil its promise of higher productivity and better jobs
If there is a technological revolution in progress, rich economies could be forgiven for wishing it would go away. Workers in America, Europe and Japan have been through a difficult few decades. In the 1970s the blistering growth after the second world war vanished in both Europe and America. In the early 1990s Japan joined the slump, entering a prolonged period of economic stagnation. Brief spells of faster growth in intervening years quickly petered out. The rich world is still trying to shake off the effects of the 2008 financial crisis. And now the digital economy, far from pushing up wages across the board in response to higher productivity, is keeping them flat for the mass of workers while extravagantly rewarding the most talented ones.
It seems difficult to square this unhappy experience with the extraordinary technological progress during that period, but the same thing has happened before. Most economic historians reckon there was very little improvement in living standards in Britain in the century after the first Industrial Revolution. And in the early 20th century, as Victorian inventions such as electric lighting came into their own, productivity growth was every bit as slow as it has been in recent decades.
<http://tinyurl.com/lv6rj7b>Acesso em: 18.02.2015. Adaptado.
Assinale a alternativa que apresenta o uso da voz passiva.34F91879-B2 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015DifícilEntre para guardar nos favoritosTechnology isn’t working
The digital revolution has yet to fulfil its promise of higher productivity and better jobs
If there is a technological revolution in progress, rich economies could be forgiven for wishing it would go away. Workers in America, Europe and Japan have been through a difficult few decades. In the 1970s the blistering growth after the second world war vanished in both Europe and America. In the early 1990s Japan joined the slump, entering a prolonged period of economic stagnation. Brief spells of faster growth in intervening years quickly petered out. The rich world is still trying to shake off the effects of the 2008 financial crisis. And now the digital economy, far from pushing up wages across the board in response to higher productivity, is keeping them flat for the mass of workers while extravagantly rewarding the most talented ones.
It seems difficult to square this unhappy experience with the extraordinary technological progress during that period, but the same thing has happened before. Most economic historians reckon there was very little improvement in living standards in Britain in the century after the first Industrial Revolution. And in the early 20th century, as Victorian inventions such as electric lighting came into their own, productivity growth was every bit as slow as it has been in recent decades.
<http://tinyurl.com/lv6rj7b>Acesso em: 18.02.2015. Adaptado.
De acordo com o segundo parágrafo do texto,34F5CEA2-B2 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015FácilEntre para guardar nos favoritosTechnology isn’t working
The digital revolution has yet to fulfil its promise of higher productivity and better jobs
If there is a technological revolution in progress, rich economies could be forgiven for wishing it would go away. Workers in America, Europe and Japan have been through a difficult few decades. In the 1970s the blistering growth after the second world war vanished in both Europe and America. In the early 1990s Japan joined the slump, entering a prolonged period of economic stagnation. Brief spells of faster growth in intervening years quickly petered out. The rich world is still trying to shake off the effects of the 2008 financial crisis. And now the digital economy, far from pushing up wages across the board in response to higher productivity, is keeping them flat for the mass of workers while extravagantly rewarding the most talented ones.
It seems difficult to square this unhappy experience with the extraordinary technological progress during that period, but the same thing has happened before. Most economic historians reckon there was very little improvement in living standards in Britain in the century after the first Industrial Revolution. And in the early 20th century, as Victorian inventions such as electric lighting came into their own, productivity growth was every bit as slow as it has been in recent decades.
<http://tinyurl.com/lv6rj7b>Acesso em: 18.02.2015. Adaptado.
O termo “the same thing”, em destaque no segundo parágrafo, refere-se a34F28494-B2 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015MédioEntre para guardar nos favoritosTechnology isn’t working
The digital revolution has yet to fulfil its promise of higher productivity and better jobs
If there is a technological revolution in progress, rich economies could be forgiven for wishing it would go away. Workers in America, Europe and Japan have been through a difficult few decades. In the 1970s the blistering growth after the second world war vanished in both Europe and America. In the early 1990s Japan joined the slump, entering a prolonged period of economic stagnation. Brief spells of faster growth in intervening years quickly petered out. The rich world is still trying to shake off the effects of the 2008 financial crisis. And now the digital economy, far from pushing up wages across the board in response to higher productivity, is keeping them flat for the mass of workers while extravagantly rewarding the most talented ones.
It seems difficult to square this unhappy experience with the extraordinary technological progress during that period, but the same thing has happened before. Most economic historians reckon there was very little improvement in living standards in Britain in the century after the first Industrial Revolution. And in the early 20th century, as Victorian inventions such as electric lighting came into their own, productivity growth was every bit as slow as it has been in recent decades.
<http://tinyurl.com/lv6rj7b>Acesso em: 18.02.2015. Adaptado.
Pelas informações do texto, um dos resultados da economia digital foi34EF8495-B2 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015DifícilEntre para guardar nos favoritosTechnology isn’t working
The digital revolution has yet to fulfil its promise of higher productivity and better jobs
If there is a technological revolution in progress, rich economies could be forgiven for wishing it would go away. Workers in America, Europe and Japan have been through a difficult few decades. In the 1970s the blistering growth after the second world war vanished in both Europe and America. In the early 1990s Japan joined the slump, entering a prolonged period of economic stagnation. Brief spells of faster growth in intervening years quickly petered out. The rich world is still trying to shake off the effects of the 2008 financial crisis. And now the digital economy, far from pushing up wages across the board in response to higher productivity, is keeping them flat for the mass of workers while extravagantly rewarding the most talented ones.
It seems difficult to square this unhappy experience with the extraordinary technological progress during that period, but the same thing has happened before. Most economic historians reckon there was very little improvement in living standards in Britain in the century after the first Industrial Revolution. And in the early 20th century, as Victorian inventions such as electric lighting came into their own, productivity growth was every bit as slow as it has been in recent decades.
<http://tinyurl.com/lv6rj7b>Acesso em: 18.02.2015. Adaptado.
De acordo com o texto, os efeitos da tecnologia notados na América, Europa e Japão34A90057-B2 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015FácilEntre para guardar nos favoritosConsidere o cartum.
<http://tinyurl.com/kl3oyrm>Acesso em: 16.03.2015.
O texto do cartum faz referência direta ao fato de919029BD-B1 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015DifícilEntre para guardar nos favoritosLearn ‘n’ go
How quickly can people learn new skills?
Jan 25th 2014 – from the print edition
In 2012, Erik Brynjolfsson and Andrew McAfee took a ride in one of Google’s driverless cars. The car’s performance, they report, was flawless, boring and, above all, “weird”. Only a few years earlier, “We were sure that computers would not be able to drive cars.” Only humans, they thought, could make sense of the countless, shifting patterns of driving a car – with oncoming1 traffic, changing lights and wayward2 jaywalkers3 .
Machines have mastered driving. And not just driving. In ways that are only now becoming apparent, the authors argue, machines can forecast home prices, design beer bottles, teach at universities, grade exams and do countless other things better and more cheaply than humans. (…)
This will have one principal good consequence, and one bad. The good is bounty4 . Households will spend less on groceries, utilities and clothing; the deaf will be able to hear, the blind to see. The bad is spread5 . The gap is growing between the lucky few whose abilities and skills are enhanced6 by technology, and the far more numerous middle-skilled people competing for the remaining7 jobs that machines cannot do, such as folding towels and waiting at tables. (…) People should develop skills that complement, rather than compete with computers, such as idea generation and complex communication. (…)
<http://tinyurl.com/m2zmazg>Acesso em: 27.07.2015. Adaptado.
Glossário
1oncoming: iminente; próximo.
2wayward: desobediente; instável.
3jaywalker: pedestre imprudente.
4bounty: recompensa.
5spread: propagação; extensão.
6enhanced: aprimorado(a).
7remaining: remanescente.
O pronome relativo whose, em negrito no terceiro parágrafo, refere-se a918CD9A3-B1 Inglês
Verbos modais | Modal verbsFATEC · 2015MédioEntre para guardar nos favoritosLearn ‘n’ go
How quickly can people learn new skills?
Jan 25th 2014 – from the print edition
In 2012, Erik Brynjolfsson and Andrew McAfee took a ride in one of Google’s driverless cars. The car’s performance, they report, was flawless, boring and, above all, “weird”. Only a few years earlier, “We were sure that computers would not be able to drive cars.” Only humans, they thought, could make sense of the countless, shifting patterns of driving a car – with oncoming1 traffic, changing lights and wayward2 jaywalkers3 .
Machines have mastered driving. And not just driving. In ways that are only now becoming apparent, the authors argue, machines can forecast home prices, design beer bottles, teach at universities, grade exams and do countless other things better and more cheaply than humans. (…)
This will have one principal good consequence, and one bad. The good is bounty4 . Households will spend less on groceries, utilities and clothing; the deaf will be able to hear, the blind to see. The bad is spread5 . The gap is growing between the lucky few whose abilities and skills are enhanced6 by technology, and the far more numerous middle-skilled people competing for the remaining7 jobs that machines cannot do, such as folding towels and waiting at tables. (…) People should develop skills that complement, rather than compete with computers, such as idea generation and complex communication. (…)
<http://tinyurl.com/m2zmazg>Acesso em: 27.07.2015. Adaptado.
Glossário
1oncoming: iminente; próximo.
2wayward: desobediente; instável.
3jaywalker: pedestre imprudente.
4bounty: recompensa.
5spread: propagação; extensão.
6enhanced: aprimorado(a).
7remaining: remanescente.
O modal verb should em “People should develop skills that complement” (terceiro parágrafo) expressa a ideia de918A2AA8-B1 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015MédioEntre para guardar nos favoritosLearn ‘n’ go
How quickly can people learn new skills?
Jan 25th 2014 – from the print edition
In 2012, Erik Brynjolfsson and Andrew McAfee took a ride in one of Google’s driverless cars. The car’s performance, they report, was flawless, boring and, above all, “weird”. Only a few years earlier, “We were sure that computers would not be able to drive cars.” Only humans, they thought, could make sense of the countless, shifting patterns of driving a car – with oncoming1 traffic, changing lights and wayward2 jaywalkers3 .
Machines have mastered driving. And not just driving. In ways that are only now becoming apparent, the authors argue, machines can forecast home prices, design beer bottles, teach at universities, grade exams and do countless other things better and more cheaply than humans. (…)
This will have one principal good consequence, and one bad. The good is bounty4 . Households will spend less on groceries, utilities and clothing; the deaf will be able to hear, the blind to see. The bad is spread5 . The gap is growing between the lucky few whose abilities and skills are enhanced6 by technology, and the far more numerous middle-skilled people competing for the remaining7 jobs that machines cannot do, such as folding towels and waiting at tables. (…) People should develop skills that complement, rather than compete with computers, such as idea generation and complex communication. (…)
<http://tinyurl.com/m2zmazg>Acesso em: 27.07.2015. Adaptado.
Glossário
1oncoming: iminente; próximo.
2wayward: desobediente; instável.
3jaywalker: pedestre imprudente.
4bounty: recompensa.
5spread: propagação; extensão.
6enhanced: aprimorado(a).
7remaining: remanescente.
A respeito das tarefas que as máquinas podem desempenhar, e de acordo com o que é mencionado diretamente no segundo parágrafo, pode-se afirmar corretamente que9187185C-B1 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015MédioEntre para guardar nos favoritosLearn ‘n’ go
How quickly can people learn new skills?
Jan 25th 2014 – from the print edition
In 2012, Erik Brynjolfsson and Andrew McAfee took a ride in one of Google’s driverless cars. The car’s performance, they report, was flawless, boring and, above all, “weird”. Only a few years earlier, “We were sure that computers would not be able to drive cars.” Only humans, they thought, could make sense of the countless, shifting patterns of driving a car – with oncoming1 traffic, changing lights and wayward2 jaywalkers3 .
Machines have mastered driving. And not just driving. In ways that are only now becoming apparent, the authors argue, machines can forecast home prices, design beer bottles, teach at universities, grade exams and do countless other things better and more cheaply than humans. (…)
This will have one principal good consequence, and one bad. The good is bounty4 . Households will spend less on groceries, utilities and clothing; the deaf will be able to hear, the blind to see. The bad is spread5 . The gap is growing between the lucky few whose abilities and skills are enhanced6 by technology, and the far more numerous middle-skilled people competing for the remaining7 jobs that machines cannot do, such as folding towels and waiting at tables. (…) People should develop skills that complement, rather than compete with computers, such as idea generation and complex communication. (…)
<http://tinyurl.com/m2zmazg>Acesso em: 27.07.2015. Adaptado.
Glossário
1oncoming: iminente; próximo.
2wayward: desobediente; instável.
3jaywalker: pedestre imprudente.
4bounty: recompensa.
5spread: propagação; extensão.
6enhanced: aprimorado(a).
7remaining: remanescente.
De acordo com o primeiro parágrafo, em 2012, Erik Brynjolfsson e Andrew McAfee918365B4-B1 Inglês
Interpretação de texto | Reading comprehensionFATEC · 2015MédioEntre para guardar nos favoritosLearn ‘n’ go
How quickly can people learn new skills?
Jan 25th 2014 – from the print edition
In 2012, Erik Brynjolfsson and Andrew McAfee took a ride in one of Google’s driverless cars. The car’s performance, they report, was flawless, boring and, above all, “weird”. Only a few years earlier, “We were sure that computers would not be able to drive cars.” Only humans, they thought, could make sense of the countless, shifting patterns of driving a car – with oncoming1 traffic, changing lights and wayward2 jaywalkers3 .
Machines have mastered driving. And not just driving. In ways that are only now becoming apparent, the authors argue, machines can forecast home prices, design beer bottles, teach at universities, grade exams and do countless other things better and more cheaply than humans. (…)
This will have one principal good consequence, and one bad. The good is bounty4 . Households will spend less on groceries, utilities and clothing; the deaf will be able to hear, the blind to see. The bad is spread5 . The gap is growing between the lucky few whose abilities and skills are enhanced6 by technology, and the far more numerous middle-skilled people competing for the remaining7 jobs that machines cannot do, such as folding towels and waiting at tables. (…) People should develop skills that complement, rather than compete with computers, such as idea generation and complex communication. (…)
<http://tinyurl.com/m2zmazg>Acesso em: 27.07.2015. Adaptado.
Glossário
1oncoming: iminente; próximo.
2wayward: desobediente; instável.
3jaywalker: pedestre imprudente.
4bounty: recompensa.
5spread: propagação; extensão.
6enhanced: aprimorado(a).
7remaining: remanescente.
Ainda conforme o primeiro parágrafo, a performance do carro desenvolvido pelo Google foi avaliada por Erik Brynjolfsson e Andrew McAfee como913F463F-B1 Inglês
Aspectos linguísticos | Linguistic aspectsFATEC · 2015FácilEntre para guardar nos favoritosLeia o texto em que um termo foi retirado.
Rio 2016 unveils innovative Olympic torch
The innovative design, which is _________________ by the warmth of the Brazilian people, features moveable segments that expand vertically to reveal the colours of Brazil when the Olympic flame is passed from one torchbearer to another. The triangular shape of the torch, meanwhile, alludes to the three Olympic Values of excellence, friendship and respect, while the floating effect of its different segments represents the efforts of the athletes.
<http://tinyurl.com/qee99wp>Acesso em: 28.07.2015. Adaptado.
A forma verbal que melhor completa o parágrafo de modo a tornar a sentença gramaticalmente correta é1DF06EC4-B0 Inglês
Interpretação de texto | Reading comprehensionFGV · 2015DifícilEntre para guardar nos favoritos
Adapted from The Economist, January 24, 2015.
In paragraph 5, “That” in the sentence “That has much to do with events elsewhere in the world” most likely refers to the1DD7731B-B0 Inglês
Interpretação de texto | Reading comprehensionFGV · 2015DifícilEntre para guardar nos favoritos
Adapted from Natural History, March 2015.
According to the information in the article, the fact that zebra striping patterns can vary in accordance with geographical area may indicate that