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Q3964432 Matemática
Durante o teste de uma prensa industrial, a altura h(t), em metros, atingida por um componente projetado verticalmente é descrita por uma função do 2º grau. Observou-se que:

• O componente parte do solo no instante t = 0; • Retorna ao solo no instante t = 6; • A altura máxima atingida é 9 metros.

Sabendo que a função pode ser escrita na forma fatorada h(t) = a⋅t(t − 6), a expressão correta da função 
Alternativas
Q3964431 Matemática
Em um biotério, a área ocupada por uma colônia de bactérias numa placa de Petri cresce segundo a função exponencial: A(t) = 5 ⋅ 2t onde:
• A(t) = representa a área ocupada (em cm²), • t = representa o tempo em horas.

Considerando que a placa comporta no máximo 160 cm², o tempo mínimo necessário para que a colônia atinja exatamente essa área é:
Alternativas
Q3964430 Matemática
Em um biotério, será construída uma nova área retangular para acomodação de roedores. Por normas técnicas de bem-estar animal, o recinto deve possuir área de 48 m². Sabe-se que o comprimento excede a largura em 2 metros. Para atender às normas de circulação dos técnicos, será instalada uma proteção ao redor de todo o recinto. Considerando essas informações, assinale a alternativa que apresenta corretamente:

• a largura do recinto; • o perímetro da área construída.
Alternativas
Q3964429 Matemática Financeira
Em uma oficina de manutenção de máquinas industriais, uma empresa realiza um investimento para a aquisição e modernização de equipamentos mecânicos. O valor investido foi de R$ 20.000,00, aplicado a uma taxa de 5% ao mês, sob o regime de juros compostos, durante 3 meses. Ao final desse período, o montante acumulado desse investimento será de, aproximadamente,
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Q3964428 Matemática
Em um laboratório de testes industriais, um equipamento passa por ciclos sucessivos de operação. Observa-se que, a cada ciclo, o número de componentes ativos em funcionamento é o dobro do número verificado no ciclo anterior. No primeiro ciclo, o equipamento opera com  3 componentes ativos. Mantido esse comportamento, o número de componentes ativos no 6º ciclo será:
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Q3964427 Inglês
Building Trustworthy AI in Government: Enablers, Guardrails, and Engagement 







    Governments are starting to use AI in areas like public services, tax work, and disaster response. When it works well, AI can help people get answers faster, spot problems earlier, and support better decisions. As a result, AI can improve productivity, responsiveness, and accountability in government.
    However, many public AI projects stay in small pilots. This happens because governments often lack skills, good data, modern digital systems, and clear ways to measure impact. These gaps can also increase risk aversion, so teams avoid innovation even when the potential benefits are high.
    The OECD proposes a simple way to understand “trustworthy AI in government”: a framework with three connected pillars. In the figure, the goal is in the centre. Around it, the three pillars explain what governments must build and do, so they can reach the public value goals shown on the outer ring (productivity, responsiveness and accountability).
     Enablers are the foundations. They include strong governance, quality data, and digital infrastructure, as well as skills and talent in the civil service. They also require purposeful investment, smart public procurement, and partnerships with non-government actors, so that AI systems can be built and used reliably.
    Guardrails are the safety systems that guide AI use. They include ethics and risk management, transparency duties, and monitoring and oversight bodies that can check results over time. They can also be non-binding guidance or binding laws and policies, along with enforcement measures. Tools like impact assessment and auditing help keep these guardrails practical. Still, guardrails should be proportionate: not every rule fits every use case, or progress may stop.
    Engagement means involving the people who are affected. This includes working across levels of government, across policy areas, and with the broader ecosystem (civil society, businesses and researchers). It also includes citizens and civil servants, and sometimes collaboration across borders. Engagement pushes governments to design user-centred systems, listen to concerns, and make necessary adjustments.
     The main message is that trust is “unlocked” by the right mix. If enablers are weak, AI cannot scale. If guardrails are missing, harms grow. If engagement is shallow, solutions may look efficient but feel unfair, and trust can fall.


(Adapted from oecd.org on February 22, 2026)
Considere o trecho “Guardrails are the safety systems that guide AI use.” (5º parágrafo). Sem alterar o sentido original do texto, a palavra “guide” pode ser substituída por
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Q3964426 Inglês
Building Trustworthy AI in Government: Enablers, Guardrails, and Engagement 







    Governments are starting to use AI in areas like public services, tax work, and disaster response. When it works well, AI can help people get answers faster, spot problems earlier, and support better decisions. As a result, AI can improve productivity, responsiveness, and accountability in government.
    However, many public AI projects stay in small pilots. This happens because governments often lack skills, good data, modern digital systems, and clear ways to measure impact. These gaps can also increase risk aversion, so teams avoid innovation even when the potential benefits are high.
    The OECD proposes a simple way to understand “trustworthy AI in government”: a framework with three connected pillars. In the figure, the goal is in the centre. Around it, the three pillars explain what governments must build and do, so they can reach the public value goals shown on the outer ring (productivity, responsiveness and accountability).
     Enablers are the foundations. They include strong governance, quality data, and digital infrastructure, as well as skills and talent in the civil service. They also require purposeful investment, smart public procurement, and partnerships with non-government actors, so that AI systems can be built and used reliably.
    Guardrails are the safety systems that guide AI use. They include ethics and risk management, transparency duties, and monitoring and oversight bodies that can check results over time. They can also be non-binding guidance or binding laws and policies, along with enforcement measures. Tools like impact assessment and auditing help keep these guardrails practical. Still, guardrails should be proportionate: not every rule fits every use case, or progress may stop.
    Engagement means involving the people who are affected. This includes working across levels of government, across policy areas, and with the broader ecosystem (civil society, businesses and researchers). It also includes citizens and civil servants, and sometimes collaboration across borders. Engagement pushes governments to design user-centred systems, listen to concerns, and make necessary adjustments.
     The main message is that trust is “unlocked” by the right mix. If enablers are weak, AI cannot scale. If guardrails are missing, harms grow. If engagement is shallow, solutions may look efficient but feel unfair, and trust can fall.


(Adapted from oecd.org on February 22, 2026)
Considere o trecho “These gaps can also increase risk aversion, so teams avoid innovation even when the potential benefits are high.” (2º parágrafo)
A expressão “risk aversion” pode ser corretamente compreendida como:¬
Alternativas
Q3964425 Inglês
Building Trustworthy AI in Government: Enablers, Guardrails, and Engagement 







    Governments are starting to use AI in areas like public services, tax work, and disaster response. When it works well, AI can help people get answers faster, spot problems earlier, and support better decisions. As a result, AI can improve productivity, responsiveness, and accountability in government.
    However, many public AI projects stay in small pilots. This happens because governments often lack skills, good data, modern digital systems, and clear ways to measure impact. These gaps can also increase risk aversion, so teams avoid innovation even when the potential benefits are high.
    The OECD proposes a simple way to understand “trustworthy AI in government”: a framework with three connected pillars. In the figure, the goal is in the centre. Around it, the three pillars explain what governments must build and do, so they can reach the public value goals shown on the outer ring (productivity, responsiveness and accountability).
     Enablers are the foundations. They include strong governance, quality data, and digital infrastructure, as well as skills and talent in the civil service. They also require purposeful investment, smart public procurement, and partnerships with non-government actors, so that AI systems can be built and used reliably.
    Guardrails are the safety systems that guide AI use. They include ethics and risk management, transparency duties, and monitoring and oversight bodies that can check results over time. They can also be non-binding guidance or binding laws and policies, along with enforcement measures. Tools like impact assessment and auditing help keep these guardrails practical. Still, guardrails should be proportionate: not every rule fits every use case, or progress may stop.
    Engagement means involving the people who are affected. This includes working across levels of government, across policy areas, and with the broader ecosystem (civil society, businesses and researchers). It also includes citizens and civil servants, and sometimes collaboration across borders. Engagement pushes governments to design user-centred systems, listen to concerns, and make necessary adjustments.
     The main message is that trust is “unlocked” by the right mix. If enablers are weak, AI cannot scale. If guardrails are missing, harms grow. If engagement is shallow, solutions may look efficient but feel unfair, and trust can fall.


(Adapted from oecd.org on February 22, 2026)
No 5º parágrafo, ao afirmar que “Still, guardrails should be proportionate: not every rule fits every use case, or progress may stop. ”, o texto defende que as regras para o uso da IA devem
Alternativas
Q3964424 Inglês
Building Trustworthy AI in Government: Enablers, Guardrails, and Engagement 







    Governments are starting to use AI in areas like public services, tax work, and disaster response. When it works well, AI can help people get answers faster, spot problems earlier, and support better decisions. As a result, AI can improve productivity, responsiveness, and accountability in government.
    However, many public AI projects stay in small pilots. This happens because governments often lack skills, good data, modern digital systems, and clear ways to measure impact. These gaps can also increase risk aversion, so teams avoid innovation even when the potential benefits are high.
    The OECD proposes a simple way to understand “trustworthy AI in government”: a framework with three connected pillars. In the figure, the goal is in the centre. Around it, the three pillars explain what governments must build and do, so they can reach the public value goals shown on the outer ring (productivity, responsiveness and accountability).
     Enablers are the foundations. They include strong governance, quality data, and digital infrastructure, as well as skills and talent in the civil service. They also require purposeful investment, smart public procurement, and partnerships with non-government actors, so that AI systems can be built and used reliably.
    Guardrails are the safety systems that guide AI use. They include ethics and risk management, transparency duties, and monitoring and oversight bodies that can check results over time. They can also be non-binding guidance or binding laws and policies, along with enforcement measures. Tools like impact assessment and auditing help keep these guardrails practical. Still, guardrails should be proportionate: not every rule fits every use case, or progress may stop.
    Engagement means involving the people who are affected. This includes working across levels of government, across policy areas, and with the broader ecosystem (civil society, businesses and researchers). It also includes citizens and civil servants, and sometimes collaboration across borders. Engagement pushes governments to design user-centred systems, listen to concerns, and make necessary adjustments.
     The main message is that trust is “unlocked” by the right mix. If enablers are weak, AI cannot scale. If guardrails are missing, harms grow. If engagement is shallow, solutions may look efficient but feel unfair, and trust can fall.


(Adapted from oecd.org on February 22, 2026)
No 5º parágrafo do texto, a palavra “guardrails” é usada em sentido figurado. Ela se refere, mais diretamente, a: 
Alternativas
Q3964423 Inglês
Building Trustworthy AI in Government: Enablers, Guardrails, and Engagement 







    Governments are starting to use AI in areas like public services, tax work, and disaster response. When it works well, AI can help people get answers faster, spot problems earlier, and support better decisions. As a result, AI can improve productivity, responsiveness, and accountability in government.
    However, many public AI projects stay in small pilots. This happens because governments often lack skills, good data, modern digital systems, and clear ways to measure impact. These gaps can also increase risk aversion, so teams avoid innovation even when the potential benefits are high.
    The OECD proposes a simple way to understand “trustworthy AI in government”: a framework with three connected pillars. In the figure, the goal is in the centre. Around it, the three pillars explain what governments must build and do, so they can reach the public value goals shown on the outer ring (productivity, responsiveness and accountability).
     Enablers are the foundations. They include strong governance, quality data, and digital infrastructure, as well as skills and talent in the civil service. They also require purposeful investment, smart public procurement, and partnerships with non-government actors, so that AI systems can be built and used reliably.
    Guardrails are the safety systems that guide AI use. They include ethics and risk management, transparency duties, and monitoring and oversight bodies that can check results over time. They can also be non-binding guidance or binding laws and policies, along with enforcement measures. Tools like impact assessment and auditing help keep these guardrails practical. Still, guardrails should be proportionate: not every rule fits every use case, or progress may stop.
    Engagement means involving the people who are affected. This includes working across levels of government, across policy areas, and with the broader ecosystem (civil society, businesses and researchers). It also includes citizens and civil servants, and sometimes collaboration across borders. Engagement pushes governments to design user-centred systems, listen to concerns, and make necessary adjustments.
     The main message is that trust is “unlocked” by the right mix. If enablers are weak, AI cannot scale. If guardrails are missing, harms grow. If engagement is shallow, solutions may look efficient but feel unfair, and trust can fall.


(Adapted from oecd.org on February 22, 2026)
No trecho “These gaps can also increase risk aversion”, presente no segundo parágrafo, a expressão “these gaps” refere-se, principalmente, 
Alternativas
Q3964422 Inglês
Building Trustworthy AI in Government: Enablers, Guardrails, and Engagement 







    Governments are starting to use AI in areas like public services, tax work, and disaster response. When it works well, AI can help people get answers faster, spot problems earlier, and support better decisions. As a result, AI can improve productivity, responsiveness, and accountability in government.
    However, many public AI projects stay in small pilots. This happens because governments often lack skills, good data, modern digital systems, and clear ways to measure impact. These gaps can also increase risk aversion, so teams avoid innovation even when the potential benefits are high.
    The OECD proposes a simple way to understand “trustworthy AI in government”: a framework with three connected pillars. In the figure, the goal is in the centre. Around it, the three pillars explain what governments must build and do, so they can reach the public value goals shown on the outer ring (productivity, responsiveness and accountability).
     Enablers are the foundations. They include strong governance, quality data, and digital infrastructure, as well as skills and talent in the civil service. They also require purposeful investment, smart public procurement, and partnerships with non-government actors, so that AI systems can be built and used reliably.
    Guardrails are the safety systems that guide AI use. They include ethics and risk management, transparency duties, and monitoring and oversight bodies that can check results over time. They can also be non-binding guidance or binding laws and policies, along with enforcement measures. Tools like impact assessment and auditing help keep these guardrails practical. Still, guardrails should be proportionate: not every rule fits every use case, or progress may stop.
    Engagement means involving the people who are affected. This includes working across levels of government, across policy areas, and with the broader ecosystem (civil society, businesses and researchers). It also includes citizens and civil servants, and sometimes collaboration across borders. Engagement pushes governments to design user-centred systems, listen to concerns, and make necessary adjustments.
     The main message is that trust is “unlocked” by the right mix. If enablers are weak, AI cannot scale. If guardrails are missing, harms grow. If engagement is shallow, solutions may look efficient but feel unfair, and trust can fall.


(Adapted from oecd.org on February 22, 2026)
A frase “If engagement is shallow, solutions may look efficient but feel unfair, and trust can fall”, no último parágrafo, sugere que a principal consequência de um engajamento fraco é
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Q3964421 Português
    “Falam tanto sobre a vida de casado. De como ela acaba com o amor, de como se tornam distantes os que vivem ao alcance das mãos. Afirmam que é destino da intimidade abrir passagem para a indelicadeza, que a disponibilidade afasta o desejo e a convivência mina o afeto, como se essas fossem leis imutáveis. São fartos os exemplos dos que vivem juntos apenas se tolerando, dos que se destroem com o empenho com que se beijavam.
    Que falem os mal-amados sobre suas profecias amargas, que sinalizem os abismos, as curvas, as areias movediças – nada comoverá. Não há quem convença um apaixonado com a dor alheia. Nem a própria dor pode salvá-lo. Cite todos os casos, reúna todos os parentes infelizes no amor, pregue nas paredes as páginas policiais escritas com sangue e paixão, nada demoverá os que foram fisgados.”


Carla Madeira. Tudo é rio.
No trecho “pregue nas paredes as páginas policiais escritas com sangue e paixão”, observa-se, predominantemente, a figura de linguagem denominada 
Alternativas
Q3964420 Português
    “Falam tanto sobre a vida de casado. De como ela acaba com o amor, de como se tornam distantes os que vivem ao alcance das mãos. Afirmam que é destino da intimidade abrir passagem para a indelicadeza, que a disponibilidade afasta o desejo e a convivência mina o afeto, como se essas fossem leis imutáveis. São fartos os exemplos dos que vivem juntos apenas se tolerando, dos que se destroem com o empenho com que se beijavam.
    Que falem os mal-amados sobre suas profecias amargas, que sinalizem os abismos, as curvas, as areias movediças – nada comoverá. Não há quem convença um apaixonado com a dor alheia. Nem a própria dor pode salvá-lo. Cite todos os casos, reúna todos os parentes infelizes no amor, pregue nas paredes as páginas policiais escritas com sangue e paixão, nada demoverá os que foram fisgados.”


Carla Madeira. Tudo é rio.
No trecho “como se essas fossem leis imutáveis”, Carla Madeira usa essa expressão para 
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Q3964419 Português
Texto para a questão


No texto, a sequência “não só..., mas...” estabelece o significado de¬¬
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Q3964418 Português
Texto para a questão


A estratégia argumentativa predominante no texto consiste em 
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Q3964417 Português
Depois de contarmos uns para os outros como havia sido a semana, o garçom veio e perguntou o que queríamos. Todos nós fizemos nossos pedidos. O papo estava ótimo, muitas risadas e a cerveja também estava deliciosa. Foi quando Luíza disse para mim e para o Paulo.

“−Posso contar uma piada?”¬¬
“−Claro que pode!”, falamos nós.
“−É uma piada racista”, disse Luíza.
“−Prefiro que não conte”, eu disse.
Paulo somente observava.
“−É só uma piada”, disse ela.
“−Como falei prefiro que não conte”, eu disse novamente.
“−A piada é rapidinha”, ela insistiu.
“− OK! Você pode contar a piada, e eu saio da mesa e,
quando você terminar, você me chama e eu volto!”. Então
levantei da cadeira.
Paulo somente observava.


Aparecida de Jesus Ferreira. Racismo no Brasil? É coisa da sua cabeça: Histórias de racismo e empoderamento no ambiente familiar, escolar e nas relações sociais.
A expressão “É só uma piada” revela a tentativa da personagem de
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Q3964416 Português
Depois de contarmos uns para os outros como havia sido a semana, o garçom veio e perguntou o que queríamos. Todos nós fizemos nossos pedidos. O papo estava ótimo, muitas risadas e a cerveja também estava deliciosa. Foi quando Luíza disse para mim e para o Paulo.

“−Posso contar uma piada?”¬¬
“−Claro que pode!”, falamos nós.
“−É uma piada racista”, disse Luíza.
“−Prefiro que não conte”, eu disse.
Paulo somente observava.
“−É só uma piada”, disse ela.
“−Como falei prefiro que não conte”, eu disse novamente.
“−A piada é rapidinha”, ela insistiu.
“− OK! Você pode contar a piada, e eu saio da mesa e,
quando você terminar, você me chama e eu volto!”. Então
levantei da cadeira.
Paulo somente observava.


Aparecida de Jesus Ferreira. Racismo no Brasil? É coisa da sua cabeça: Histórias de racismo e empoderamento no ambiente familiar, escolar e nas relações sociais.
O conflito central do texto estabelece-se a partir
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Q3964415 Português
Texto para a questão


Na frase “A regra é clara”, o adjetivo “clara” exerce função argumentativa ao 
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Q3964414 Português
Texto para a questão


No contexto em que é apresentada, a expressão “não faz parte do jogo” deve ser compreendida como 
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Q3964413 Português
Texto para a questão


A articulação entre a imagem do cartão vermelho e a frase “A regra é clara: preconceito não faz parte do jogo” produz o sentido de: 
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Respostas
101: A
102: B
103: A
104: E
105: C
106: C
107: B
108: E
109: B
110: A
111: C
112: B
113: E
114: D
115: C
116: E
117: D
118: B
119: A
120: C