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Q4375766 Inglês
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 sentence “Anglo-Saxon words are often punchier” (5th paragraph), “punchier” indicates that these words tend to be more  
Alternativas
Q4375765 Inglês
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 
Alternativas
Q4375764 Inglês
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)  
Alternativas
Q4375763 Inglês
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  
Alternativas
Q4375762 Inglês
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 
Alternativas
Q4375761 Inglês
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,  
Alternativas
Q4375129 Segurança da Informação

Durante uma investigação, foi localizado um fórum que não figurava nos resultados dos mecanismos convencionais de busca.


O endereço terminava em .onion, e o acesso exigia a utilização da rede Tor.


À luz dos conceitos de criminologia digital, assinale a afirmativa correta.

Alternativas
Q4375124 Noções de Informática

Um perito precisa identificar quais estados de suspensão, economia de energia e hibernação são suportados e disponibilizados pelo hardware e pelo sistema operacional de uma determinada estação de trabalho do laboratório da Polícia Civil do Paraná. O perito precisa fazer essa verificação diretamente via linha de comando.



O utilitário nativo do Windows 11 que ele executará chama-se

Alternativas
Q4375123 Segurança da Informação

Uma investigação conduzida pela Polícia Civil do Paraná identificou a atuação de uma vasta rede de botnets com dezenas de dispositivos comprometidos e controlados remotamente por um servidor de Comando e Controle.


Os policiais constataram que essa infraestrutura e os dispositivos zumbis vinham sendo alugados no mercado ilícito para a execução de ataques contra instituições públicas e privadas.


Com relação aos tipos de ataques de botnet, avalie se as descrições a seguir estão corretas.



I. Ataques de Negação de Serviço – a botnet é utilizada para direcionar um fluxo massivo e simultâneo de requisições maliciosas contra um servidor ou infraestrutura de rede, visando esgotar seus recursos de processamento ou largura de banda e tornar os serviços indisponíveis para usuários legítimos.


II. Disseminação de Phishing – a infraestrutura da botnet possibilita o envio automatizado e massivo de e-mails spams que se passam por comunicações de instituições confiáveis, com o objetivo de capturar credenciais de acesso de diversos usuários.


III. Ataques de Força Bruta – os cibercriminosos, valendo-se da manipulação física coercitiva sobre os proprietários dos dispositivos, obtêm as credenciais para explorar senhas dos usuários e acessar seus dados.



Está correto o que se afirma em 

Alternativas
Q4375121 Sistemas de Informação

Maria, Agente de Polícia Judiciária do Paraná, fez uma apresentação para seus superiores na qual relatou as vantagens de migrar parte de sistemas legados mantidos em um data center local para uma arquitetura baseada em computação em nuvem. O objetivo da apresentação era readequar o orçamento do departamento, melhorar o desempenho dos sistemas de consulta pericial e garantir a continuidade das operações em caso de desastres.


Considerando os benefícios e vantagens operacionais da computação em nuvem em relação às infraestruturas locais, avalie as afirmativas a seguir.



I. A adoção da nuvem reduz custos, substitui a aquisição de servidores físicos caros pelo modelo de aluguel de recursos computacionais sob demanda, em que o departamento paga apenas pela capacidade efetivamente utilizada.


II. O benefício da escalabilidade elástica permite ao departamento aumentar ou diminuir rapidamente os recursos computacionais (processamento e armazenamento) para responder a variações sazonais de demanda, como em operações policiais de grande porte.


III. Ao migrar para a nuvem, elimina-se a necessidade de rotinas de backup e recuperação de desastres, uma vez que os data centers remotos garantem a impossibilidade de perda de dados e ataques de hackers.



Está correto o que se afirma em 

Alternativas
Q4375120 Noções de Informática

O LibreOffice (versão 26.2) permite apresentar séries de dados em gráficos, permitindo que um agente policial compare visualmente séries e observe tendências nos dados.



Os tipos de gráficos disponíveis incluem os a seguir listados, exceto um. Assinale-o.

Alternativas
Q4375119 Segurança da Informação

Atualmente existem diversos tipos de ataque de phishing.


O ataque do tipo phishing que usa o telefone e envia mensagens SMS fraudulentas chama-se

Alternativas
Q4375118 Segurança da Informação

A autenticação de dois fatores (2AF) adiciona uma camada extra de segurança para proteger a conta dos usuários contra acessos não autorizados.


No que se refere ao funcionamento, métodos de confirmação e requisitos dessa funcionalidade no Google Workspace, assinale a opção correta.

Alternativas
Q4375115 Segurança da Informação

O uso ético da tecnologia e das informações institucionais constitui um dos pilares mais críticos para a governança moderna.


Neste contexto, o emprego ético de tecnologias de Inteligência Artificial (IA) na produção de documentos, pesquisas ou códigos deve 

Alternativas
Q4375111 Segurança da Informação

A engenharia social é uma forma de ataque sem violência física que busca fazer com que a vítima realize voluntariamente ações prejudiciais a si mesma. Para alcançar seu objetivo, os atacantes podem usar diversas técnicas.


O tipo de ataque no qual pessoas mal-intencionados enviam mensagens fingindo ser uma outra pessoa ou entidade confiável, fazendo com que a vítima execute ações como instalar um arquivo malicioso, clicar em um link malicioso ou divulgar informações confidenciais, como credenciais de acesso, chama-se

Alternativas
Q4375110 Redes de Computadores

Durante investigações, os agentes policiais frequentemente precisam transmitir dados sigilosos e relatórios de campo por meio da infraestrutura da internet pública. Para proteger esses fluxos de trabalho contra interceptações e garantir o sigilo das operações eles utilizam redes VPN.


Com relação aos benefícios que uma VPN deve oferecer nesse contexto, avalie se as afirmativas a seguir são verdadeiras (V) ou falsas (F).



( ) Quando um agente se conectar a uma VPN, seu tráfego de dados será criptografado antes de trafegar pela internet. Isso significa que, mesmo que alguém intercepte a conexão, a informação ficará ilegível sem a chave de criptografia correta.


( ) Uma VPN funciona como um servidor proxy. Ela oculta o endereço IP do seu dispositivo e o substitui pelo endereço IP do servidor VPN ao qual o agente se conecta.


( ) Uma VPN criar uma conexão segura entre o dispositivo do agente e a rede que ele está acessando. Isso reduz o risco de interceptação de informações sensíveis em trânsito. É especialmente útil se o agente trabalhar remotamente ou enviar regularmente informações confidenciais pela internet.



As afirmativas são, respectivamente, 

Alternativas
Q4375107 Segurança da Informação

Os cookies são sequências de dados que um servidor web envia para o navegador do cliente.


Com relação aos tipos de cookie, analise as afirmativas a seguir.



I. Os cookies de sessão são armazenados na memória RAM e não são gravados no disco. Quando o navegador fecha, esse tipo de cookie é permanentemente perdido desse ponto em diante.


II. Os cookies persistentes são gravados no disco e têm uma data de validade máxima de 365 dias. Na data de validade, esse tipo de cookie será removido do disco.


III. Os cookies de segurança são gravados no disco, não têm data de validade e são usados para autoidentificação, validação do usuário e criptografia.



Está correto apenas o que se afirma em

Alternativas
Q4375106 Noções de Informática

Um Agente de Polícia Judiciária necessita proteger um documento sigiloso contendo dados de uma investigação. Ele elaborou o arquivo na versão desktop do Microsoft Word do pacote Microsoft 365 (BR) e necessita salvá-lo de forma que nenhum outro usuário consiga abrir ou visualizar seu conteúdo sem digitar uma senha de acesso.


Assinale a opção que apresenta a sequência correta e nativa de comandos do Microsoft Word do pacote 365 para aplicar a criptografia por senha ao arquivo.

Alternativas
Q4375105 Segurança da Informação

O Sistema Operacional Android utiliza três tipos de métricas para medir o desempenho da segurança biométrica.


Considerando as métricas de desempenho utilizadas pelo Android, avalie se as afirmativas a seguir estão corretas.



I. A Taxa de Aceitação de Falsificação define a métrica da probabilidade de um modelo biométrico aceitar uma amostra válida previamente gravada. Por exemplo, no desbloqueio por voz, isso mediria a probabilidade de desbloquear o telefone de um usuário usando uma gravação dele dizendo: "Ok, Google".


II. A Taxa de Aceitação de Impostores define a métrica da probabilidade de um modelo biométrico aceitar uma entrada que pretende imitar uma amostra válida conhecida.


III. A Taxa de Verdadeiros Positivos define a métrica da frequência com que um modelo aceita erroneamente uma entrada correta escolhida aleatoriamente.



Está correto o que se afirma em

Alternativas
Q4375104 Noções de Informática

Durante uma investigação policial em um computador, uma equipe de Agentes da Polícia Civil do Paraná se deparou com um desktop rodando o Windows 11 cujo disco (volume principal) estava protegido pelo BitLocker.


Diante desse cenário, o volume criptografado não pode ser desbloqueado pelos métodos convencionais nem pelo console padrão de recuperação.


O utilitário de linha de comando adequado para tentar extrair e restaurar os dados válidos do volume para um novo volume chama-se

Alternativas
Respostas
181: B
182: C
183: D
184: D
185: B
186: E
187: E
188: D
189: D
190: D
191: E
192: B
193: E
194: C
195: D
196: E
197: E
198: B
199: B
200: D