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Q3748935 Direito Administrativo
No âmbito da Administração Pública, os controles interno e externo são instrumentos essenciais para garantir a conformidade dos atos administrativos com os princípios constitucionais, como legalidade, moralidade e eficiência. A compreensão das competências, dos limites e das formas de atuação desses controles é fundamental para o exercício da função pública e para a fiscalização da gestão administrativa. Com base nessa informação, assinale a opção correta.
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Q3748934 Direito Administrativo
A organização administrativa brasileira é estruturada em Administração Direta e administração indireta, que se articulam por meio dos mecanismos de centralização, descentralização, concentração e desconcentração. Com base nessa informação, assinale a opção correta.
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Q3748933 Direito Administrativo
O regime jurídico‑administrativo é o conjunto de princípios e normas que conferem identidade ao direito administrativo, distinguindo‑o dos demais ramos do direito. Com base nessa informação, assinale a opção correta.
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Q3748932 Direito Constitucional
A ordem econômica, fundada na valorização do trabalho humano e na livre iniciativa, tem por fim assegurar a todos existência digna, conforme os ditames da justiça social. Considerando essa informação e as regras constitucionais para atuação do Estado na economia, inclusive para fins de proteção ambiental, assinale a opção correta.
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Q3748931 Direito Constitucional
O Poder Legislativo é exercido pelo Congresso Nacional, composto da Câmara dos Deputados e do Senado Federal. A partir dessa informação e acerca das imunidades parlamentares e das competências do Poder Legislativo, assinale a opção correta, à luz do texto da Constituição Federal de 1988.
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Q3748930 Direito Constitucional
A Constituição Federal de 1988 dedica dispositivos específicos ao Distrito Federal, reconhecendo sua natureza jurídica singular. Com base nessa informação e considerando a Constituição Federal de 1988, assinale a opção correta, acerca do Distrito Federal.
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Q3748929 Direito Constitucional
A Constituição Federal de 1988 consagra o direito de propriedade como um direito fundamental, previsto no artigo 5º, inciso XXII, e estabelece que a propriedade deve atender à sua função social (art. 5º, XXIII). A doutrina constitucional moderna destaca que o conceito constitucional de propriedade é mais amplo que o conceito civilista tradicional, abrangendo bens materiais e imateriais, valores patrimoniais e até direitos subjetivos públicos de caráter patrimonial. Além disso, a Constituição prevê hipóteses de desapropriação, limitações administrativas, tombamento, e outras formas de intervenção estatal na propriedade, sempre observando os princípios da proporcionalidade, da função social e da proteção ao núcleo essencial do direito. Com base nessas informações e no texto da Constituição Federal de 1988, na doutrina e na jurisprudência constitucional, assinale a opção correta.
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Q3748928 Direito Constitucional
“Ainda que nos documentos internacionais assumam a forma das primeiras declarações, nos ordenamentos nacionais integram as constituições, adquirindo o caráter concreto de normas jurídicas positivas constitucionais, por isso, subjetivando‑se em direito particular de cada povo.” Com base na doutrina e na Constituição Federal de 1988, assinale a opção correta, a respeito dos princípios que regem as relações internacionais do Estado brasileiro.
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Q3748907 Direito Digital
A Lei de Acesso à Informação (Lei nº 12.527/2011) e a LGPD (Lei nº 13.709/2018) estabelecem um equilíbrio essencial entre transparência pública e privacidade individual. Enquanto a LAI garante o direito fundamental de acesso às informações públicas, promovendo transparência e controle social da administração, a LGPD protege dados pessoais contra tratamento indevido, assegurando direitos fundamentais como privacidade e dignidade. Com base nessas informações, assinale a opção correta.
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Q3748906 Direito Digital
Dados pessoais sensíveis exigem maior atenção no tratamento, porque revelam aspectos íntimos da personalidade do indivíduo. Acerca dessa informação e com base na Lei nº 13.709/2018 (Lei Geral de Proteção de Dados – LGPD), assinale a opção que designa corretamente dados pessoais sensíveis.
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Q3748905 Direito Administrativo
O regime de sanções da Lei de Improbidade Administrativa, a Lei Federal nº 8.429/1992, estabeleceu parâmetros éticos e morais elevados para a atuação de agentes públicos. Considerando essa informação e as sanções do sistema de improbidade administrativa, assinale a opção correta.
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Q3748904 Direito Administrativo
Os princípios administrativos condicionam toda a atuação da Administração Pública e orientam a interpretação e a aplicação das normas, formando o chamado regime jurídico‑administrativo. Considerando essa informação, assinale a opção correta, à luz das normas de regência do tema em comento.
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Q3748903 Direito Administrativo
Uma determinada autoridade pública, investida do cargo de secretário municipal de obras, às vésperas de inaugurar uma obra, determinou que as peças publicitárias trouxessem seu nome e uma imagem com um slogan político. No mesmo período, tentou nomear a nora para um cargo em comissão na secretaria e recebeu, da empresa contratada pelo órgão, uma espécie de presente, como agradecimento pelos aditivos contratuais realizados. Ao ser cobrado por um cidadão, negou acesso a informações sobre aditivos do contrato, alegando sigilo por haver dados pessoais nos documentos.
Com base nessa situação hipotética, assinale a opção correta, quanto à conduta da autoridade, à luz das normas e regras aplicáveis ao caso.
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Q3748902 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
In the period “This means they can catch and fix bugs much earlier which prevents bigger issues down the line.” the modal verb “can” has the meaning of 
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Q3748901 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
In the period “Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning,” the word “milestones” could be replaced, without affecting meaning, by
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Q3748900 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
In the text, Natural Language Processing is a branch of Machine Learning that can be summarized as
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Q3748899 Inglês
        Since the 1950s, researchers, inventors and entrepreneurs have been fascinated by the idea of Artificial Intelligence (AI) to replicate human behaviour and thinking into technology. Over time AI has evolved to mimic human behaviour in information technology (IT) with key milestones like machine learning, natural language processing and understanding, generative AI and orchestrating decision making and now the latest advancement: agentic AI.

        Today, AI is not just a technology but a critical part of modern IT strategies. AI in the IT industry has been a transformative force, automating tasks, analysing vast amounts of data and improving operational processes. By using AI for ITSM, organisations can adapt to a changing technology landscape and complex digital environments and keep their IT infrastructure future proof.

        AI has come a long way from theory to software to recent innovations like machine learning (ML). ML is about developing AI algorithms and models that help systems learn and make decisions based on patterns and relationships in data. Instead of programming each decision manually, systems can make decisions on their own based on large amounts of data. Continuous learning on data allows systems to get better over time. At the next level is natural language processing (NLP), a branch of machine learning that’s about interpreting human language and generating intelligent and contextual responses. By using ML algorithms on language, machines can do things like response generation, speech recognition, language translation and more. NLP is the foundation for modern day chatbots that can understand user intent and generate responses to user requests.

         AI is revolutionizing ITSM by introducing innovative solutions such as an AI service desk that enhances IT operations. With automated ticket triaging, routing, deflection, and process automation, organizations can streamline tasks that IT agents encounter daily.

        By providing agents with agent assist capabilities and an AI Copilot, organizations can reduce redundant and repetitive service tasks and improve productivity, thereby minimizing the need for human intervention in these repetitive tasks. With AIOps, organizations can also stay ahead of potential incidents and outages with proactive detection and remediation, as well as automated incident management.

        AI also plays a big role in software development and testing. It helps quality assurance teams by generating test cases and predicting defects. This means they can catch and fix bugs much earlier which prevents bigger issues down the line. When it comes to data center security, computer vision is a powerful tool. It allows systems to analyze images and videos to monitor infrastructure and spot anything unusual. Additionally, machine learning models can analyze network traffic in real time to detect cyber threats and fraud and allow teams to respond quickly and protect their systems.

Internet:<aisera.com>  (adapted).
According to the text, Artificial Intelligence in IT is helping multiple organizations due to its 
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Q3748898 Matemática
Uma livraria aumentou o número de livros vendidos a cada mês em 50% em relação ao mês anterior. No primeiro mês, a livraria vendeu 256 livros.
Com base nessa situação hipotética, é correto afirmar que a quantidade total de livros vendidos nos 4 primeiros meses foi de
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Q3748897 Estatística

Uma loja registrou o número de produtos vendidos por dia durante 4 dias, de acordo com tabela a seguir.

Imagem associada para resolução da questão

Com base nessa situação hipotética e nas informações apresentadas, é correto afirmar que o desvio‑padrão populacional do número de produtos vendido é

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Q3748896 Matemática
Em uma caixa, há 4 bolas vermelhas, 3 bolas azuis e 3 bolas verdes. Duas bolas serão retiradas uma após a outra, sem reposição.
Com base nessa situação hipotética, é correto afirmar que a probabilidade de ambas as bolas retiradas serem vermelhas é de
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Respostas
121: A
122: E
123: B
124: A
125: D
126: C
127: D
128: E
129: E
130: C
131: A
132: B
133: D
134: B
135: D
136: C
137: A
138: E
139: D
140: B