1

Em muitas narrativas, ocorre a interferência do narrador. No texto “Vamos começar pelo nascimento do nosso herói!”, a interferência é corretamente identificada como:

2

“e descobriram que, nelas, ‘chovem’ mais de 1.000 toneladas de microplásticos por ano, o equivalente a 120 milhões de garrafas PET.” (2º parágrafo)

“e concluiu que cada adulto ingere em média 20 gramas de microplásticos, o equivalente a uma pecinha de Lego, por mês” (3º parágrafo)

As duas passagens acima ilustram o emprego de uma mesma estratégia discursiva, bastante comum em textos que buscam gerar impacto emocional. 

Essa estratégia consiste no recurso a: 

3
Um livro didático de interpretação de textos diz em seu prefácio: “Vem-se observando há tempo, nos livros de interpretação de texto, uma distorção quanto ao termo interpretação. Deve-se isto ao fato de dar-se o nome de interpretação ao que realmente não passa de uma releitura”.
A crítica inicial dos autores desse livro é a de que
4

Texto 4

Assim que toca o sinal indicando o fim das aulas, um grupo de alunos sai correndo das salas. Eles não estão com pressa de ir embora, como seria de se esperar após nove horas e meia de atividade escolar, mas para ir ao pátio, onde vão ensaiar para a fanfarra ou treinar handebol.

Em um colégio onde 30% dos alunos repetiam ou abandonavam os estudos, houve um receio inicial em aumentar o tempo de classe, com o período integral. A solução surpreendeu, fez aumentar o interesse dos jovens pelos estudos e melhorou os indicadores educacionais da unidade.

O primeiro parágrafo do texto 4 mistura dois tipos de textos, que são:

5

“Hoje, esse termo denota, além da agressão física, diversos tipos de imposição sobre a vida civil, como a repressão política, familiar ou de gênero, ou a censura da fala e do pensamento de determinados indivíduos e, ainda, o desgaste causado pelas condições de trabalho e condições econômicas”. Sobre os componentes desse segmento do texto 2, é correto afirmar que:

6
Abaixo aparecem indicados tipos diversos de textos; entre eles, o tipo que apresenta um modelo adequado é: 
7

Texto 3

Em uma carta de um jesuíta espanhol sobre o Brasil de 1500, aparecia o seguinte texto:
“Assim, chegamos a uma aldeia onde achamos os gentios todos embriagados, porque aqui tem uma maneira de vinho de raízes que embriaga muito, e quando eles estão assim bêbados ficam tão brutos e feros que não perdoam a nenhuma pessoa, e, quando não podem mais, põem fogo na casa onde estão os estrangeiros”.

Muitas vezes podemos trocar de posição algumas palavras do texto sem que se altere o seu significado; a troca de posição abaixo que modifica o sentido original do texto é:
8

Observe a frase a seguir.

O Brasil está tentando superar dificuldades; torçamos para que o maior país da América do Sul tenha sucesso.

Nesse caso substituiu-se o primeiro termo, para evitar-se a repetição de palavras, por uma qualificação; ocorre o mesmo processo na seguinte frase:

9

O célebre e falecido cantor Elvis Presley disse certa vez: “Não entendo nada de música. Na minha área você não precisa disso”.

Em relação aos componentes e estruturação dessa frase, é correto afirmar que:

10

Todos os itens abaixo são períodos compostos por duas orações, separadas por um sinal de pontuação; o item em que a inclusão de um conectivo entre essas duas orações foi feita de forma adequada ao sentido original é:

11
Embora não sejam as primeiras mulheres perdidas para estas águas escuras é uma oração que poderia ser reescrita em forma reduzida de infinitivo e mantendo-se o sentido original, da seguinte forma:
12
O segmento composto pelo verbo ter + substantivo foi substituído de forma semanticamente adequada em:
13

It is currently assumed that the teaching/learning of English as a Foreign Language in Brazilian public schools has not been successful (Jordão, 2013, p. 286-287). Read the statements below and mark them as TRUE (T ) or FALSE (F ).
( ) Teachers’ lack of qualification may contribute to this perception.
( ) This is because local cultures and discursive practices are disregarded.
( ) To solve this problem, basic rules of grammar and vocabulary should be taught.
The statements are, respectively:
14

According to Jordão (2013), critical pedagogy differs from structuralist pedagogies because, among other reasons, it
15

How facial recognition technology aids police

Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.

By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

The authors conclude the text by stating that
16

Based on the summary provided for Text I, mark the statements below as TRUE (T ) or FALSE (F ). ( ) Contextual clues are still not accounted for by computers.
( ) Computers are unreliable because they focus on language patterns.
( ) A game has been invented based on the words people use.
The statements are, respectively:
17

The base form, past tense and past participle of the verb “fall” in “The criticisms fall into three areas” are, respectively:
18

READ TEXT II AND ANSWER QUESTIONS 16 TO 20:

TEXT II

The backlash against big data

[…]

Big data refers to the idea that society can do things with a large

body of data that weren't possible when working with smaller

amounts. The term was originally applied a decade ago to

massive datasets from astrophysics, genomics and internet

search engines, and to machine-learning systems (for voicerecognition

and translation, for example) that work

well only when given lots of data to chew on. Now it refers to the

application of data-analysis and statistics in new areas, from

retailing to human resources. The backlash began in mid-March,

prompted by an article in Science by David Lazer and others at

Harvard and Northeastern University. It showed that a big-data

poster-child—Google Flu Trends, a 2009 project which identified

flu outbreaks from search queries alone—had overestimated the

number of cases for four years running, compared with reported

data from the Centres for Disease Control (CDC). This led to a

wider attack on the idea of big data.

The criticisms fall into three areas that are not intrinsic to big

data per se, but endemic to data analysis, and have some merit.

First, there are biases inherent to data that must not be ignored.

That is undeniably the case. Second, some proponents of big data

have claimed that theory (ie, generalisable models about how the

world works) is obsolete. In fact, subject-area knowledge remains

necessary even when dealing with large data sets. Third, the risk

of spurious correlations—associations that are statistically robust

but happen only by chance—increases with more data. Although

there are new statistical techniques to identify and banish

spurious correlations, such as running many tests against subsets

of the data, this will always be a problem.

There is some merit to the naysayers' case, in other words. But

these criticisms do not mean that big-data analysis has no merit

whatsoever. Even the Harvard researchers who decried big data

"hubris" admitted in Science that melding Google Flu Trends

analysis with CDC's data improved the overall forecast—showing

that big data can in fact be a useful tool. And research published

in PLOS Computational Biology on April 17th shows it is possible

to estimate the prevalence of the flu based on visits to Wikipedia

articles related to the illness. Behind the big data backlash is the

classic hype cycle, in which a technology's early proponents make

overly grandiose claims, people sling arrows when those

promises fall flat, but the technology eventually transforms the

world, though not necessarily in ways the pundits expected. It

happened with the web, and television, radio, motion pictures

and the telegraph before it. Now it is simply big data's turn to

face the grumblers.

(From http://www.economist.com/blogs/economist explains/201

4/04/economist-explains-10)

The base form, past tense and past participle of the verb “fall” in “The criticisms fall into three areas” are, respectively:
19

The word “shoulder” in “few auditors shoulder as much burden as those who work with the government” means
20

The base form, past tense and past participle of the verb “fall” in “The criticisms fall into three areas” are, respectively:
21

How facial recognition technology aids police

Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.

By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

The word “while” in “While a number of UK and international police forces have been enthusiastically exploring the potential of AFR” has the same meaning as
22

How facial recognition technology aids police

Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.

By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

The word that may replace “In fact” in “In fact, it is so important”, without change in meaning, is
23

If you are holding a fishing pole, the word “bank” means a:
24

If you are holding a fishing pole, the word “bank” means a:
25

Uma empresa criou um arquivo com uma sequência de pastas identificadas com uma letra do alfabeto e um número escrito com dois dígitos, como se vê a seguir.

A00, A01, A02, A03, ..., A99, B00, B01, B02, ..., Z99

A quantidade de pastas depois de D37 e antes de F23 é:

26

Três caixas, despachadas pelo correio, tinham os pesos a seguir:

A sequência das caixas em ordem crescente de seus pesos é:

27

Antônio, Beto e Carlos combinaram dividir igualmente as despesas de uma viagem que os três fizeram juntos.

Durante a viagem, Antônio pagou R$ 750,00, Beto pagou R$ 480,00 e Carlos pagou R$ 420,00. Ao final da viagem, para dividir igualmente as despesas, Beto deu x reais para Antônio, e Carlos deu y reais para Antônio.

O valor de x + y é

28

Considere a sentença: “Se Amazonino é amazonense e Reno não é alagoano, então Carlota não é carioca”.

Uma sentença logicamente equivalente à sentença dada é

29
Considere a sentença: “Se corro ou faço musculação, então fico cansado”. Uma sentença logicamente equivalente a essa é:
30

Um antigo ditado diz: “Se há fumaça então há fogo”.

Uma sentença logicamente equivalente é

31

Determinado operador, pessoa natural que realizou o tratamento de dados pessoais em nome de controlador, pessoa jurídica de direito público, em razão do exercício de atividade de tratamento de dados pessoais, causou dano patrimonial e moral a Caio, tendo sido comprovada, judicialmente, a violação à legislação de proteção de dados pessoais.  

A partir da legislação em vigor, é correto afirmar que: 

32
Conjuntos de dados identificados de pessoas são úteis em pesquisas, ao mesmo tempo que são motivo de preocupação em relação à privacidade das pessoas naturais envolvidas. A classificação de atributos identificadores ajuda a priorizar atividades de desidentificação para alavancar a pesquisa sob a observância da LGPD.
São exemplos: a) de identificadores explícitos, b) de identificadores sensíveis e c) de quasi identificadores:
33
Em relação à ação popular, é correto afirmar que o prazo para contestar será
34
A respeito da ação popular, à luz da legislação em vigor e da jurisprudência dos Tribunais Superiores, é correto afirmar que:
35
A partir da edição da Lei nº 12.527/2011, a difusão de uma cultura de maior transparência e acesso à informação pública ganhou ênfase no âmbito da administração pública. Nesse cenário, além de conceder acesso à informação, também cabe aos órgãos e entidades do poder público a proteção da informação em termos de autenticidade e integridade.
Assim, o direito de acesso à informação não é absoluto, de forma que entre os direitos previstos na Lei de Acesso à Informação NÃO se inclui o de obter:
36

No dia 1 de junho de 2017, jornais de várias partes do mundo deram a manchete:

Trump anuncia retirada dos EUA do Acordo de Paris sobre o clima

A justificativa dada por Trump para a saída do Acordo de París foi que

37

Em passado recente as três grandes agências internacionais de classificação de risco voltaram suas atenções para a economia brasileira. Sobre esse fato considere as afirmações:

I. A classificação de risco (rating) soberano é a nota dada por agências classificadoras de risco que avaliam a capacidade e a disposição de um país em honrar, pontual e integralmente, os pagamentos de sua dívida.

II. As agências atribuem as notas de risco de crédito apenas a Estados nacionais, mas excepcionalmente podem avaliar empresas, especialmente estatais que estão em vias de desestatização.

III. Desde final de 2016 as principais agências de risco incluíram o Brasil no grupo de países com classificação A-, isto é, país com baixo grau de investimento financeiro.

IV. Quanto pior for a classificação de risco maior são os juros cobrados pelos investidores para emprestar dinheiro, o que amplia a crise econômica do país endividado.

Está correto o que se afirma APENAS em

38

Um dos fatores que contribuiu para o crescimento do PIB foi a

39

Um dia histórico para o mundo da música. A cantora conquistou o Grammy Latino de “Melhor Álbum de Música Popular Brasileira” nesta quinta-feira (17.11) e se tornou a primeira artista assumidamente trans a levar esse prêmio. Ao ter seu nome revelado na cerimônia, que acontece em Las Vegas, todos os convidados a aplaudiram de pé.

                                                                                                                                                       (Disponível em: https://cultura.uol.com.br) 

A notícia trata do prêmio dado à cantora 
40

Apesar de ser um evento que abarca diversos países e culturas do planeta, a Copa do Mundo de Futebol Masculino de 2022, realizada no Catar, tem gerado polêmicas entre jogadores e organização do torneio.

Uma das principais polêmicas se refere