Magna Concursos

Foram encontradas 337 questões.

READ TEXT I AND ANSWER NEXT QUESTION.

TEXT I


AI is getting better at writing. Humans must get better at editing.
Writing is hard. For Franz Kafka, putting words on the page was a process of “unending torments”. George Orwell said it felt like “a long bout of some painful illness”. Hunter S. Thompson, a journalist, saw it as the opposite of sex: “only good when it’s over”. Now AI has come to the rescue. Large language models (LLMs) eagerly offer reams of text without any pain or torment. Bots can spew out emails (excellently), longer prose (passably) and poetry (poorly). To them, writer’s block is a 500-sheet pack of paper: any user of an LLM can produce as many words in a day as Kafka did in his life.
For human writers this is a blessing and a curse. If you claim to be an author but use AI, you look like a fraud—bot-busting tools like Pangram are good at spotting when someone has had an AI helping hand. […]
If LLMs keep improving, in a few years they could be as good as professional wordsmiths. In the meantime, though, their baggy prose puts a premium on editing skills. After all, even the best writers need a good editor to keep them sharp. Editing is something The Economist deals with day in, day out, so here are our tips for rewriting AI prose.
First, commission well. George R.R. Martin once said the job of editors is to “clip the wings” of writers, and “tell them in which direction to fly”. When it comes to LLMs, that means giving clear instructions about exactly what you want, and asking them to refine their output as many times as necessary. You’ll get less pushback from machines than men. Mr Martin said editors were “the writer’s natural enemy”; AI would probably say “great observation!” and “love the enemy analogy!” 
Second, pay attention to detail. AI writers will make mistakes and offer phrases that sound good but mean nothing. They like to lavish their prose with Latinate words, talking about the “bidirectional flow” and how to “expedite grid enhancements”; remind them that Anglo-Saxon words are often punchier. They like clichéd metaphors: there are lots of “Achilles’ heels”. And AI tends to use the “rule of three” far more than humans. The Economist also likes this rhetorical trick. But whereas we try to group three sensible bits of advice, AI offers such redundant sentences as: “The mystery has been solved—not partially, not ambiguously, but definitively.” Such lines should be cut—definitively.
Finally, know your audience. The editor is an intermediary between writer and reader. LLMs are sycophants and their smarmy tone is often off-key. If you are writing an email to break some bad news to your boss, tell your bot to skip the exclamation marks. AI can be pretentious or pontificating (it was trained on human writing, after all). Most people are short of time, but a verbose AI pins you to the wall like a bore at a party.
“Write drunk, edit sober,” goes the old writers’ maxim. If that’s right, when the AI-human team gets down to work, the AIs will have all the fun.
Adapted from https://www.economist.com/leaders/2026/07/30/ai-is-gettingbetter-at-writing-humans-must-get-better-at-editing 
The word “like” in “bot-busting tools like Pangram are good at spotting” (2nd paragraph) is used in the same way as in
 

Provas

Questão presente nas seguintes provas
READ TEXT I AND ANSWER NEXT QUESTION.

TEXT I


AI is getting better at writing. Humans must get better at editing.
Writing is hard. For Franz Kafka, putting words on the page was a process of “unending torments”. George Orwell said it felt like “a long bout of some painful illness”. Hunter S. Thompson, a journalist, saw it as the opposite of sex: “only good when it’s over”. Now AI has come to the rescue. Large language models (LLMs) eagerly offer reams of text without any pain or torment. Bots can spew out emails (excellently), longer prose (passably) and poetry (poorly). To them, writer’s block is a 500-sheet pack of paper: any user of an LLM can produce as many words in a day as Kafka did in his life.
For human writers this is a blessing and a curse. If you claim to be an author but use AI, you look like a fraud—bot-busting tools like Pangram are good at spotting when someone has had an AI helping hand. […]
If LLMs keep improving, in a few years they could be as good as professional wordsmiths. In the meantime, though, their baggy prose puts a premium on editing skills. After all, even the best writers need a good editor to keep them sharp. Editing is something The Economist deals with day in, day out, so here are our tips for rewriting AI prose.
First, commission well. George R.R. Martin once said the job of editors is to “clip the wings” of writers, and “tell them in which direction to fly”. When it comes to LLMs, that means giving clear instructions about exactly what you want, and asking them to refine their output as many times as necessary. You’ll get less pushback from machines than men. Mr Martin said editors were “the writer’s natural enemy”; AI would probably say “great observation!” and “love the enemy analogy!” 
Second, pay attention to detail. AI writers will make mistakes and offer phrases that sound good but mean nothing. They like to lavish their prose with Latinate words, talking about the “bidirectional flow” and how to “expedite grid enhancements”; remind them that Anglo-Saxon words are often punchier. They like clichéd metaphors: there are lots of “Achilles’ heels”. And AI tends to use the “rule of three” far more than humans. The Economist also likes this rhetorical trick. But whereas we try to group three sensible bits of advice, AI offers such redundant sentences as: “The mystery has been solved—not partially, not ambiguously, but definitively.” Such lines should be cut—definitively.
Finally, know your audience. The editor is an intermediary between writer and reader. LLMs are sycophants and their smarmy tone is often off-key. If you are writing an email to break some bad news to your boss, tell your bot to skip the exclamation marks. AI can be pretentious or pontificating (it was trained on human writing, after all). Most people are short of time, but a verbose AI pins you to the wall like a bore at a party.
“Write drunk, edit sober,” goes the old writers’ maxim. If that’s right, when the AI-human team gets down to work, the AIs will have all the fun.
Adapted from https://www.economist.com/leaders/2026/07/30/ai-is-gettingbetter-at-writing-humans-must-get-better-at-editing 
“For human writers this is a blessing and a curse” (2nd paragraph) contains a(n)
 

Provas

Questão presente nas seguintes provas
READ TEXT I AND ANSWER NEXT QUESTION.

TEXT I


AI is getting better at writing. Humans must get better at editing.
Writing is hard. For Franz Kafka, putting words on the page was a process of “unending torments”. George Orwell said it felt like “a long bout of some painful illness”. Hunter S. Thompson, a journalist, saw it as the opposite of sex: “only good when it’s over”. Now AI has come to the rescue. Large language models (LLMs) eagerly offer reams of text without any pain or torment. Bots can spew out emails (excellently), longer prose (passably) and poetry (poorly). To them, writer’s block is a 500-sheet pack of paper: any user of an LLM can produce as many words in a day as Kafka did in his life.
For human writers this is a blessing and a curse. If you claim to be an author but use AI, you look like a fraud—bot-busting tools like Pangram are good at spotting when someone has had an AI helping hand. […]
If LLMs keep improving, in a few years they could be as good as professional wordsmiths. In the meantime, though, their baggy prose puts a premium on editing skills. After all, even the best writers need a good editor to keep them sharp. Editing is something The Economist deals with day in, day out, so here are our tips for rewriting AI prose.
First, commission well. George R.R. Martin once said the job of editors is to “clip the wings” of writers, and “tell them in which direction to fly”. When it comes to LLMs, that means giving clear instructions about exactly what you want, and asking them to refine their output as many times as necessary. You’ll get less pushback from machines than men. Mr Martin said editors were “the writer’s natural enemy”; AI would probably say “great observation!” and “love the enemy analogy!” 
Second, pay attention to detail. AI writers will make mistakes and offer phrases that sound good but mean nothing. They like to lavish their prose with Latinate words, talking about the “bidirectional flow” and how to “expedite grid enhancements”; remind them that Anglo-Saxon words are often punchier. They like clichéd metaphors: there are lots of “Achilles’ heels”. And AI tends to use the “rule of three” far more than humans. The Economist also likes this rhetorical trick. But whereas we try to group three sensible bits of advice, AI offers such redundant sentences as: “The mystery has been solved—not partially, not ambiguously, but definitively.” Such lines should be cut—definitively.
Finally, know your audience. The editor is an intermediary between writer and reader. LLMs are sycophants and their smarmy tone is often off-key. If you are writing an email to break some bad news to your boss, tell your bot to skip the exclamation marks. AI can be pretentious or pontificating (it was trained on human writing, after all). Most people are short of time, but a verbose AI pins you to the wall like a bore at a party.
“Write drunk, edit sober,” goes the old writers’ maxim. If that’s right, when the AI-human team gets down to work, the AIs will have all the fun.
Adapted from https://www.economist.com/leaders/2026/07/30/ai-is-gettingbetter-at-writing-humans-must-get-better-at-editing 
In the first paragraph, the sentence “Now AI has come to the rescue” means that LLMs can
 

Provas

Questão presente nas seguintes provas
READ TEXT I AND ANSWER NEXT QUESTION.

TEXT I


AI is getting better at writing. Humans must get better at editing.
Writing is hard. For Franz Kafka, putting words on the page was a process of “unending torments”. George Orwell said it felt like “a long bout of some painful illness”. Hunter S. Thompson, a journalist, saw it as the opposite of sex: “only good when it’s over”. Now AI has come to the rescue. Large language models (LLMs) eagerly offer reams of text without any pain or torment. Bots can spew out emails (excellently), longer prose (passably) and poetry (poorly). To them, writer’s block is a 500-sheet pack of paper: any user of an LLM can produce as many words in a day as Kafka did in his life.
For human writers this is a blessing and a curse. If you claim to be an author but use AI, you look like a fraud—bot-busting tools like Pangram are good at spotting when someone has had an AI helping hand. […]
If LLMs keep improving, in a few years they could be as good as professional wordsmiths. In the meantime, though, their baggy prose puts a premium on editing skills. After all, even the best writers need a good editor to keep them sharp. Editing is something The Economist deals with day in, day out, so here are our tips for rewriting AI prose.
First, commission well. George R.R. Martin once said the job of editors is to “clip the wings” of writers, and “tell them in which direction to fly”. When it comes to LLMs, that means giving clear instructions about exactly what you want, and asking them to refine their output as many times as necessary. You’ll get less pushback from machines than men. Mr Martin said editors were “the writer’s natural enemy”; AI would probably say “great observation!” and “love the enemy analogy!” 
Second, pay attention to detail. AI writers will make mistakes and offer phrases that sound good but mean nothing. They like to lavish their prose with Latinate words, talking about the “bidirectional flow” and how to “expedite grid enhancements”; remind them that Anglo-Saxon words are often punchier. They like clichéd metaphors: there are lots of “Achilles’ heels”. And AI tends to use the “rule of three” far more than humans. The Economist also likes this rhetorical trick. But whereas we try to group three sensible bits of advice, AI offers such redundant sentences as: “The mystery has been solved—not partially, not ambiguously, but definitively.” Such lines should be cut—definitively.
Finally, know your audience. The editor is an intermediary between writer and reader. LLMs are sycophants and their smarmy tone is often off-key. If you are writing an email to break some bad news to your boss, tell your bot to skip the exclamation marks. AI can be pretentious or pontificating (it was trained on human writing, after all). Most people are short of time, but a verbose AI pins you to the wall like a bore at a party.
“Write drunk, edit sober,” goes the old writers’ maxim. If that’s right, when the AI-human team gets down to work, the AIs will have all the fun.
Adapted from https://www.economist.com/leaders/2026/07/30/ai-is-gettingbetter-at-writing-humans-must-get-better-at-editing 
In the expression “bout of some painful illness” (1st paragraph), “bout” can be replaced, without significant change in meaning, by
 

Provas

Questão presente nas seguintes provas
READ TEXT I AND ANSWER NEXT QUESTION.

TEXT I


AI is getting better at writing. Humans must get better at editing.
Writing is hard. For Franz Kafka, putting words on the page was a process of “unending torments”. George Orwell said it felt like “a long bout of some painful illness”. Hunter S. Thompson, a journalist, saw it as the opposite of sex: “only good when it’s over”. Now AI has come to the rescue. Large language models (LLMs) eagerly offer reams of text without any pain or torment. Bots can spew out emails (excellently), longer prose (passably) and poetry (poorly). To them, writer’s block is a 500-sheet pack of paper: any user of an LLM can produce as many words in a day as Kafka did in his life.
For human writers this is a blessing and a curse. If you claim to be an author but use AI, you look like a fraud—bot-busting tools like Pangram are good at spotting when someone has had an AI helping hand. […]
If LLMs keep improving, in a few years they could be as good as professional wordsmiths. In the meantime, though, their baggy prose puts a premium on editing skills. After all, even the best writers need a good editor to keep them sharp. Editing is something The Economist deals with day in, day out, so here are our tips for rewriting AI prose.
First, commission well. George R.R. Martin once said the job of editors is to “clip the wings” of writers, and “tell them in which direction to fly”. When it comes to LLMs, that means giving clear instructions about exactly what you want, and asking them to refine their output as many times as necessary. You’ll get less pushback from machines than men. Mr Martin said editors were “the writer’s natural enemy”; AI would probably say “great observation!” and “love the enemy analogy!” 
Second, pay attention to detail. AI writers will make mistakes and offer phrases that sound good but mean nothing. They like to lavish their prose with Latinate words, talking about the “bidirectional flow” and how to “expedite grid enhancements”; remind them that Anglo-Saxon words are often punchier. They like clichéd metaphors: there are lots of “Achilles’ heels”. And AI tends to use the “rule of three” far more than humans. The Economist also likes this rhetorical trick. But whereas we try to group three sensible bits of advice, AI offers such redundant sentences as: “The mystery has been solved—not partially, not ambiguously, but definitively.” Such lines should be cut—definitively.
Finally, know your audience. The editor is an intermediary between writer and reader. LLMs are sycophants and their smarmy tone is often off-key. If you are writing an email to break some bad news to your boss, tell your bot to skip the exclamation marks. AI can be pretentious or pontificating (it was trained on human writing, after all). Most people are short of time, but a verbose AI pins you to the wall like a bore at a party.
“Write drunk, edit sober,” goes the old writers’ maxim. If that’s right, when the AI-human team gets down to work, the AIs will have all the fun.
Adapted from https://www.economist.com/leaders/2026/07/30/ai-is-gettingbetter-at-writing-humans-must-get-better-at-editing 
Based on Text I, mark the statements below as true (T) or false (F).

( ) The first paragraph refers to authors who assert that writing is an easy task.
( ) At times, the tone of LLM-generated prose can be rather inappropriate.
( ) It is argued that nowadays editing has lost its relevance.

The statements are, respectively,
 

Provas

Questão presente nas seguintes provas
ATENÇÃO: O texto a seguir refere-se à próxima questão.
Um Analista de Negócios de TI desempenha um papel crucial em unir a tecnologia e os objetivos empresariais. Este profissional é responsável por garantir que as soluções de TI estejam alinhadas com as necessidades e objetivos empresariais, promovendo assim eficiência e inovação. Dentro da categoria de alinhamento entre TI e negócios, o Analista de Negócios de TI (IT BA) identifica áreas de melhoria, documenta requisitos e garante que as soluções tecnológicas sejam implementadas de forma eficaz para aprimorar os processos estruturais das empresas modernas. 
Entre os adjetivos que aparecem nas opções abaixo, assinale aquele que mostra uma opinião do enunciador, indicando uma qualidade.
 

Provas

Questão presente nas seguintes provas
ATENÇÃO: O texto a seguir refere-se à próxima questão.
Um Analista de Negócios de TI desempenha um papel crucial em unir a tecnologia e os objetivos empresariais. Este profissional é responsável por garantir que as soluções de TI estejam alinhadas com as necessidades e objetivos empresariais, promovendo assim eficiência e inovação. Dentro da categoria de alinhamento entre TI e negócios, o Analista de Negócios de TI (IT BA) identifica áreas de melhoria, documenta requisitos e garante que as soluções tecnológicas sejam implementadas de forma eficaz para aprimorar os processos estruturais das empresas modernas. 
Pela sua estrutura, esse pequeno texto deve ser classificado, quanto ao seu tipo, como
 

Provas

Questão presente nas seguintes provas
ATENÇÃO: O texto a seguir refere-se à próxima questão.
Leia o texto abaixo, sobre gestão e governança.
A governança não se confunde com gestão: enquanto a gestão executa atividades e processos, a governança direciona, define políticas, estabelece prioridades e supervisiona resultados, garantindo que os objetivos organizacionais da empresa sejam alcançados de forma ética e eficiente . Ela envolve a definição de responsabilidades, a alocação de recursos e a criação de mecanismos de controle de atividades e monitoramento.  
Nas opções a seguir, assinale aquela que traz uma função diferente do conectivo de.
 

Provas

Questão presente nas seguintes provas
ATENÇÃO: O texto a seguir refere-se à próxima questão.
Leia o texto abaixo, sobre gestão e governança.
A governança não se confunde com gestão: enquanto a gestão executa atividades e processos, a governança direciona, define políticas, estabelece prioridades e supervisiona resultados, garantindo que os objetivos organizacionais da empresa sejam alcançados de forma ética e eficiente . Ela envolve a definição de responsabilidades, a alocação de recursos e a criação de mecanismos de controle de atividades e monitoramento.  
Sobre a estruturação desse texto, assinale a afirmativa correta.
 

Provas

Questão presente nas seguintes provas
As opções a seguir apresentam frases em que há a repetição de uma mesma palavra.

Assinale aquela em que as palavras mostram sentidos diferentes.
 

Provas

Questão presente nas seguintes provas