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Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748956 Contabilidade Pública
Nos termos da Lei nº 4.320/1964, o exercício financeiro constitui a referência temporal para a execução e o controle do orçamento público, servindo de base para o registro das receitas e das despesas orçamentárias.

Com base nessa informação, assinale a opção que apresenta corretamente a característica do exercício financeiro. 
Alternativas
Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748955 Contabilidade Pública
Durante a análise da situação fiscal de um ente federativo, foi constatado o aumento do déficit nominal e a expansão da dívida pública.
Diante desse cenário, o governo decidiu adotar uma política de ajuste fiscal, centrada na redução das despesas correntes e no aumento da arrecadação tributária, com o objetivo de reequilibrar as contas públicas e conter o crescimento da dívida.

Considerando essa situação hipotética, assinale a opção que apresenta o principal objetivo dessa política de ajuste fiscal.
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Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748954 Direito Previdenciário
Uma empresa Ltda. contratou outra pessoa jurídica para a execução de serviços contínuos com cessão de mão de obra.
Conforme a legislação previdenciária, em determinadas hipóteses de contratação de serviços entre pessoas jurídicas, a empresa contratante assume responsabilidade especial sobre as contribuições previdenciárias incidentes.

Com base nessa situação hipotética e considerando a informação apresentada, assinale a opção correta.
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Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748953 Economia
De acordo com a teoria econômica de Richard Musgrave, o Estado exerce três funções fundamentais na economia, voltadas à promoção do bem‑estar social e à eficiência do sistema econômico. Com base nessa informação, assinale a opção que apresenta corretamente essas funções econômicas do Estado.
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Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748952 Direito Tributário
Uma empresa Ltda., optante pelo lucro presumido, realizou a apuração trimestral do imposto sobre a renda da pessoa jurídica (IRPJ), conforme a legislação vigente.
Com base nessa situação hipotética, assinale a opção que apresenta corretamente como se determina a base de cálculo do IRPJ nesse regime.
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Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748951 Direito Empresarial (Comercial)
A Lei nº 10.303/2001, ao modificar dispositivos da Lei nº 6.404/1976 (Lei das Sociedades por Ações), promoveu importantes avanços na governança corporativa e na proteção dos investidores.
Com base nessa informação, assinale a opção correta. 
Alternativas
Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748950 Direito Administrativo
O CORE‑SP (Conselho Regional dos Representantes Comerciais no Estado de São Paulo) instaurou procedimento licitatório, com fundamento na Lei nº 14.133/2021 (Lei de Licitações e Contratos Administrativos), visando à contratação de serviços de tecnologia da informação.
Durante a análise do edital, a Comissão de Contratação discutiu a adequação do critério de julgamento técnica e preço e seus reflexos na seleção da proposta mais vantajosa para a Administração Pública.

Com base nessa situação hipotética, assinale a opção correta.
Alternativas
Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748949 Direito Constitucional
A Constituição Federal de 1988, em seu art. 22, estabelece que compete privativamente à União legislar a respeito de determinadas matérias, relacionadas à estrutura jurídica, política e econômica do Estado brasileiro.

Assinale a opção que apresenta apenas matérias de competência legislativa privativas da União.
Alternativas
Ano: 2025 Banca: Quadrix Órgão: CORE-SP Prova: Quadrix - 2025 - CORE-SP - Contador |
Q3748948 Direito Administrativo
O CORE‑SP (Conselho Regional dos Representantes Comerciais no Estado de São Paulo) publicou edital de licitação, regido pela Lei nº 14.133/2021 (Nova Lei de Licitações e Contratos Administrativos), visando à contratação de serviços administrativos de apoio às suas atividades institucionais.
Diante dessa oportunidade, uma empresa Ltda., optante pelo Simples Nacional e com faturamento anual de R$ 2,4 milhões, manifestou interesse em participar do certame na condição de empresa de pequeno porte, buscando usufruir dos benefícios do tratamento jurídico diferenciado e favorecido previstos na Lei Complementar nº 123/2006 (Estatuto Nacional da Microempresa e da Empresa de Pequeno Porte).

Com base nessa situação hipotética, assinale a opção correta.
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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.
Alternativas
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
Alternativas
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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Respostas
5201: C
5202: D
5203: B
5204: A
5205: B
5206: C
5207: C
5208: A
5209: B
5210: E
5211: C
5212: A
5213: B
5214: D
5215: B
5216: D
5217: C
5218: A
5219: E
5220: D