Questões Militares
Sobre decreto nº 3.298 de 1999 - política nacional para a integração da pessoa portadora de deficiência em estatuto da pessoa com deficiência - lei nº 13.146 de 2015
Foram encontradas 145.427 questões
Ano: 2026
Banca:
Marinha
Órgão:
MARINHA
Prova:
Marinha - 2026 - MARINHA - Oficial da Marinha - Administração, Contabilidade e Economia |
Q4275857
Inglês
Choose the correct option to complete the sentence.
Unfortunately, the city council had to stop the construction of the community centre as their resources _________ .
Unfortunately, the city council had to stop the construction of the community centre as their resources _________ .
Ano: 2026
Banca:
Marinha
Órgão:
MARINHA
Prova:
Marinha - 2026 - MARINHA - Oficial da Marinha - Administração, Contabilidade e Economia |
Q4275856
Inglês
Texto associado
New Al System could prevent vessel collisions by
reducing dependence on ship Captain
Researchers at Texas A&M University have created an
intelligent Al system that can help prevent accidents and
collisions at sea. Named 'Ship Collision Avoidance of
Machine Learning and Radar Technology for Stationary
Entities and Avoidance', or SMART-SEA, the platform
works to decrease the dependence on ship captains.
The project team was led by Dr Mirjan Fürth, an assistant
professor of ocean engineering, who was awarded a
contract by the US Department of the Interior (DOI) and
the US Department of Energy (DOE) through the Ocean
Energy Safety Institute (OESI). It is not completely an
autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime
traffic,weather and other factors.
This makes navigation safer and easier for the crew,
transiting crucial or dangerous waterways by providing
additional information and instructions. Collisions between
vessels and accidents like ships hitting stationary
structures like rigs or lighthouses are becoming common,
and most are caused by human error. This Al system will
help eliminate that, stated the project team.
Massive vessels have a lot of forward momentum that
their shipping distances are measured in miles rather than
metres. They also turn very slowly, meaning that any
collision has to factor in this slow movement while also
adjusting for sensor time lags, ocean current impacts and
several other factors.
The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The
research team also said that the system combines raw
radar imaging data with machine learning, enabling it to
identify moving objects even in bad weather with limited
visibility.
The machine learning algorithm detects stationary objects
as well from a large distance. The system uses
computational fluid dynamics models and machine
learning, which have been previously trained on vessel
motions, the team added. The system does all of this
while complying with International Regulations for
Preventing Collisions at Sea (COLREGS).
(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Mark the option that completes the text correctly.
By the time the tugboat finally _____________, the other vessel ____________ for two hours. The Captain later _____________ that if the engine had failed earlier, the grounding _____________ .
By the time the tugboat finally _____________, the other vessel ____________ for two hours. The Captain later _____________ that if the engine had failed earlier, the grounding _____________ .
Ano: 2026
Banca:
Marinha
Órgão:
MARINHA
Prova:
Marinha - 2026 - MARINHA - Oficial da Marinha - Administração, Contabilidade e Economia |
Q4275855
Inglês
Texto associado
New Al System could prevent vessel collisions by
reducing dependence on ship Captain
Researchers at Texas A&M University have created an
intelligent Al system that can help prevent accidents and
collisions at sea. Named 'Ship Collision Avoidance of
Machine Learning and Radar Technology for Stationary
Entities and Avoidance', or SMART-SEA, the platform
works to decrease the dependence on ship captains.
The project team was led by Dr Mirjan Fürth, an assistant
professor of ocean engineering, who was awarded a
contract by the US Department of the Interior (DOI) and
the US Department of Energy (DOE) through the Ocean
Energy Safety Institute (OESI). It is not completely an
autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime
traffic,weather and other factors.
This makes navigation safer and easier for the crew,
transiting crucial or dangerous waterways by providing
additional information and instructions. Collisions between
vessels and accidents like ships hitting stationary
structures like rigs or lighthouses are becoming common,
and most are caused by human error. This Al system will
help eliminate that, stated the project team.
Massive vessels have a lot of forward momentum that
their shipping distances are measured in miles rather than
metres. They also turn very slowly, meaning that any
collision has to factor in this slow movement while also
adjusting for sensor time lags, ocean current impacts and
several other factors.
The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The
research team also said that the system combines raw
radar imaging data with machine learning, enabling it to
identify moving objects even in bad weather with limited
visibility.
The machine learning algorithm detects stationary objects
as well from a large distance. The system uses
computational fluid dynamics models and machine
learning, which have been previously trained on vessel
motions, the team added. The system does all of this
while complying with International Regulations for
Preventing Collisions at Sea (COLREGS).
(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Mark the alternative in which the relative pronoun is used
correctly in the sentence.
Ano: 2026
Banca:
Marinha
Órgão:
MARINHA
Prova:
Marinha - 2026 - MARINHA - Oficial da Marinha - Administração, Contabilidade e Economia |
Q4275854
Inglês
Texto associado
New Al System could prevent vessel collisions by
reducing dependence on ship Captain
Researchers at Texas A&M University have created an
intelligent Al system that can help prevent accidents and
collisions at sea. Named 'Ship Collision Avoidance of
Machine Learning and Radar Technology for Stationary
Entities and Avoidance', or SMART-SEA, the platform
works to decrease the dependence on ship captains.
The project team was led by Dr Mirjan Fürth, an assistant
professor of ocean engineering, who was awarded a
contract by the US Department of the Interior (DOI) and
the US Department of Energy (DOE) through the Ocean
Energy Safety Institute (OESI). It is not completely an
autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime
traffic,weather and other factors.
This makes navigation safer and easier for the crew,
transiting crucial or dangerous waterways by providing
additional information and instructions. Collisions between
vessels and accidents like ships hitting stationary
structures like rigs or lighthouses are becoming common,
and most are caused by human error. This Al system will
help eliminate that, stated the project team.
Massive vessels have a lot of forward momentum that
their shipping distances are measured in miles rather than
metres. They also turn very slowly, meaning that any
collision has to factor in this slow movement while also
adjusting for sensor time lags, ocean current impacts and
several other factors.
The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The
research team also said that the system combines raw
radar imaging data with machine learning, enabling it to
identify moving objects even in bad weather with limited
visibility.
The machine learning algorithm detects stationary objects
as well from a large distance. The system uses
computational fluid dynamics models and machine
learning, which have been previously trained on vessel
motions, the team added. The system does all of this
while complying with International Regulations for
Preventing Collisions at Sea (COLREGS).
(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Mark the correct option to fill in the blank.
The analysts didn't know which platform to choose from. Both platforms seemed to have a _____ integration with the other tools.
The analysts didn't know which platform to choose from. Both platforms seemed to have a _____ integration with the other tools.
Ano: 2026
Banca:
Marinha
Órgão:
MARINHA
Prova:
Marinha - 2026 - MARINHA - Oficial da Marinha - Administração, Contabilidade e Economia |
Q4275853
Inglês
Texto associado
New Al System could prevent vessel collisions by
reducing dependence on ship Captain
Researchers at Texas A&M University have created an
intelligent Al system that can help prevent accidents and
collisions at sea. Named 'Ship Collision Avoidance of
Machine Learning and Radar Technology for Stationary
Entities and Avoidance', or SMART-SEA, the platform
works to decrease the dependence on ship captains.
The project team was led by Dr Mirjan Fürth, an assistant
professor of ocean engineering, who was awarded a
contract by the US Department of the Interior (DOI) and
the US Department of Energy (DOE) through the Ocean
Energy Safety Institute (OESI). It is not completely an
autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime
traffic,weather and other factors.
This makes navigation safer and easier for the crew,
transiting crucial or dangerous waterways by providing
additional information and instructions. Collisions between
vessels and accidents like ships hitting stationary
structures like rigs or lighthouses are becoming common,
and most are caused by human error. This Al system will
help eliminate that, stated the project team.
Massive vessels have a lot of forward momentum that
their shipping distances are measured in miles rather than
metres. They also turn very slowly, meaning that any
collision has to factor in this slow movement while also
adjusting for sensor time lags, ocean current impacts and
several other factors.
The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The
research team also said that the system combines raw
radar imaging data with machine learning, enabling it to
identify moving objects even in bad weather with limited
visibility.
The machine learning algorithm detects stationary objects
as well from a large distance. The system uses
computational fluid dynamics models and machine
learning, which have been previously trained on vessel
motions, the team added. The system does all of this
while complying with International Regulations for
Preventing Collisions at Sea (COLREGS).
(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Which of the following statements represents the
relationship between the Al system and the ship Captain,
as decribed in the text above?
Ano: 2026
Banca:
Marinha
Órgão:
MARINHA
Prova:
Marinha - 2026 - MARINHA - Oficial da Marinha - Administração, Contabilidade e Economia |
Q4275852
Inglês
Texto associado
Read the text and answer the question that follow it.
Balancing Al and Critical Thinking for the Military Leaders
of Tomorrow
Al is becoming increasingly embedded in daily life,
transforming the way we work, communicate, and make
decisions. From virtual assistants and personalized
recommendations to smart home devices and automated
customer service, Al streamlines everyday tasks and
enhances convenience. As Al continues to evolve, its role
in our livelihoods will only expand, making it an essential
tool for productivity and innovation. Rather than resisting
this technology, we should embrace it. Al has the
potential to enhance and expand our knowledge, enabling
more informed decision-making.
For future military leaders, it is critical that education and
training prioritize independent thinking and decisive action
rather than an overreliance on Al-driven systems. Leaders
must develop the confidence to question Al outputs,
evaluate their accuracy, and consider multiple perspectives
before making informed decisions, rather than blindly
accepting computer-generated recommendations. Al
struggles in unpredictable, high-stakes environments
where training data is insufficient to cover every potential
contingency. Future conflicts will demand leaders who can
adapt in real time, assess emerging threats, and execute
decisions based on experience, judgment, and battlefield
awareness - not just what a computer system suggests. To
maintain a strategic edge and operational superiority,
military leaders must cultivate a disciplined decision-making process that integrates Al as a tool while ensuring
that human intuition, adaptability, and ethical reasoning
remain at the forefront of command decisions. Though the
possibilities of Al are vast and impressive, it is crucial to
remember that its role should not be replace, but to
complement human intelligence.
The rapid evolution of Al presents both a strategic
advantage and a formidable challenge in shaping the next
generation of military leaders. Al can enhance decisionmaking, optimize operations, and expand battlefield
awareness, yet it must remain a force multiplier - not a
replacement for human intellect. The true test of future
leadership lies in striking the right balance: leveraging Al's
capabilities while preserving the independent thought,
adaptability, and critical reasoning essential for command
in today's volatile geopolitical environment. In an era
where peer adversaries are racing to develop their own Aldriven strategies, our leaders must be prepared to
out-think, not just out-tech, the competition. Al should
sharpen human cognition, not dull it - because the future of
warfare will be won by those who can command both
machine intelligence and the power of the human mind.
(Abridged from <https://mwi.westpoint.edu/warfare-at-thespeed-of-thought-balancing-ai-and-critical-thinking-for-themilitary-leaders-of-tomorrow/>)
Read the statements about the text and decide whether
they are true (T) or false (F). Then mark the correct
sequence.
( ) Al is increasingly immersed in most aspects of daily life, such as communications and conveniences.
( ) Future military leaders should not rely solely on Al for decision-making, as its output may not be precise.
( ) Questioning Al outputs and evaluating their accuracy are skills that ought to be developed in military training.
( ) Relying primarily on Al may optimise decision-making in high-stake environments.
( ) Al should be seen as an essential tool to out-tech and out-think potential enemies.
( ) Al is increasingly immersed in most aspects of daily life, such as communications and conveniences.
( ) Future military leaders should not rely solely on Al for decision-making, as its output may not be precise.
( ) Questioning Al outputs and evaluating their accuracy are skills that ought to be developed in military training.
( ) Relying primarily on Al may optimise decision-making in high-stake environments.
( ) Al should be seen as an essential tool to out-tech and out-think potential enemies.
Ano: 2026
Banca:
Marinha
Órgão:
MARINHA
Prova:
Marinha - 2026 - MARINHA - Oficial da Marinha - Administração, Contabilidade e Economia |
Q4275851
Inglês
Texto associado
Read the text and answer the question that follow it.
Balancing Al and Critical Thinking for the Military Leaders
of Tomorrow
Al is becoming increasingly embedded in daily life,
transforming the way we work, communicate, and make
decisions. From virtual assistants and personalized
recommendations to smart home devices and automated
customer service, Al streamlines everyday tasks and
enhances convenience. As Al continues to evolve, its role
in our livelihoods will only expand, making it an essential
tool for productivity and innovation. Rather than resisting
this technology, we should embrace it. Al has the
potential to enhance and expand our knowledge, enabling
more informed decision-making.
For future military leaders, it is critical that education and
training prioritize independent thinking and decisive action
rather than an overreliance on Al-driven systems. Leaders
must develop the confidence to question Al outputs,
evaluate their accuracy, and consider multiple perspectives
before making informed decisions, rather than blindly
accepting computer-generated recommendations. Al
struggles in unpredictable, high-stakes environments
where training data is insufficient to cover every potential
contingency. Future conflicts will demand leaders who can
adapt in real time, assess emerging threats, and execute
decisions based on experience, judgment, and battlefield
awareness - not just what a computer system suggests. To
maintain a strategic edge and operational superiority,
military leaders must cultivate a disciplined decision-making process that integrates Al as a tool while ensuring
that human intuition, adaptability, and ethical reasoning
remain at the forefront of command decisions. Though the
possibilities of Al are vast and impressive, it is crucial to
remember that its role should not be replace, but to
complement human intelligence.
The rapid evolution of Al presents both a strategic
advantage and a formidable challenge in shaping the next
generation of military leaders. Al can enhance decisionmaking, optimize operations, and expand battlefield
awareness, yet it must remain a force multiplier - not a
replacement for human intellect. The true test of future
leadership lies in striking the right balance: leveraging Al's
capabilities while preserving the independent thought,
adaptability, and critical reasoning essential for command
in today's volatile geopolitical environment. In an era
where peer adversaries are racing to develop their own Aldriven strategies, our leaders must be prepared to
out-think, not just out-tech, the competition. Al should
sharpen human cognition, not dull it - because the future of
warfare will be won by those who can command both
machine intelligence and the power of the human mind.
(Abridged from <https://mwi.westpoint.edu/warfare-at-thespeed-of-thought-balancing-ai-and-critical-thinking-for-themilitary-leaders-of-tomorrow/>)
Concerning the vocabulary underlined in the text and their
meaning in context, we can only affirm that:
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256046
Legislação Estadual
Nos termos das I – 40 – PM – Instruções para o Atendimento de Ocorrência em que haja o Cometimento de Infração Penal praticada por Policial Militar, é correto afirmar
que, para as Praças afastadas ilegalmente do serviço ativo, o Comandante da Unidade deverá instaurar processo
regular no prazo máximo de até
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256045
Legislação Estadual
Nos termos da Portaria PM1 – 7/02/23, de 30.05.23, que
dispõe sobre o regime de trabalho na Polícia Militar do
Estado de São Paulo e dá outras providências, é correto
afirmar que o policial militar sujeito ao regime de horário
de expediente não poderá se afastar por
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256044
Legislação Estadual
Nos termos da Nota de Instrução PM3 – 002/03/20 – Normas para utilização de Armas de Incapacitação Neuromuscular (AIN), é correto afirmar que a efetiva utilização
de arma de incapacitação neuromuscular enseja a
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256043
Legislação Estadual
Registro audiovisual de fato de interesse policial produzido por acionamento mecânico e intencional da gravação
da COP, marcando temporalmente o início e término do
registro de fato de interesse policial.
Nos termos da Diretriz PM3 – 1/02/22 – Câmeras Operacionais Portáteis (COP), é correto afirmar que o enunciado conceitua
Nos termos da Diretriz PM3 – 1/02/22 – Câmeras Operacionais Portáteis (COP), é correto afirmar que o enunciado conceitua
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256042
Legislação Estadual
Também conhecido como Plano Gerencial, consiste no
desdobramento do planejamento estratégico nas mais
diversas áreas de gestão, em todos os escalões, operacionais e administrativos, por meio da definição dos
objetivos setoriais de médio prazo, que podem inclusive
complementar (mas não substituir) os objetivos estratégicos. Também descrevem a metodologia a ser adotada
pelas OPM envolvidas e os planos de ação que envolvem
o emprego de meios humanos e materiais.
Nos termos da Diretriz PM3 – 1/02/20, Normas para o Sistema Operacional de Policiamento (NORSOP), é correto afirmar que o enunciado se refere ao nível
Nos termos da Diretriz PM3 – 1/02/20, Normas para o Sistema Operacional de Policiamento (NORSOP), é correto afirmar que o enunciado se refere ao nível
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256041
Legislação Estadual
Nos termos da Nota de Instrução PM3 – 1/03/20 – Programa de Acompanhamento e Apoio ao Policial Militar
(PAAPM), na coordenação do Programa, a Comissão
Superior de Auditoria é presidida pelo
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256040
Legislação Estadual
Nos termos da NI no
PM4 – 001/1.2/18 – Utilização de
Armas Portáteis, é correto afirmar que a autorização para
carga pessoal de arma portátil, pertencente ao patrimônio da Polícia Militar do Estado de São Paulo,
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256039
Legislação Estadual
Nos termos do Decreto nº
58.052/12 (Regulamenta a Lei
Federal nº 12.527/11. Regula o acesso a informações
previsto no inciso XXXIII do art. 5º , no inciso II do § 3º do art. 37 e no § 2º
do art. 216 da Constituição Federal;
altera a Lei nº
8.112, de 11 de dezembro de 1990; revoga
a Lei nº
11.111, de 5 de maio de 2005, e dispositivos da
Lei nº
8.159, de 8 de janeiro de 1991; e dá outras providências), é correto afirmar que expedição, tramitação e
entrega
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256038
Legislação Federal
Nos termos do Decreto-lei no
667/69 (Reorganiza as
Polícias Militares e os Corpos de Bombeiros Militares dos
Estados, dos Territórios e do Distrito Federal, e dá outras
providências) é correto afirmar que o Sistema de Proteção Social dos Militares dos Estados, do Distrito Federal
e dos Territórios deve ser regulado por
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256037
Legislação Estadual
Nos termos do Decreto no
55.588/10, que dispõe sobre o
tratamento nominal das pessoas transexuais e travestis
nos órgãos públicos do Estado de São Paulo e dá providências correlatas, é correto afirmar que
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256036
Legislação Estadual
Nos termos da Lei Complementar no
893/01 (Institui o Regulamento Disciplinar da Polícia Militar) é correto afirmar
que não haverá aplicação de sanção disciplinar quando
for reconhecida, entre outras, causas de justificação:
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256035
Legislação Estadual
Nos termos do Decreto nº 20.218/82, que define a conceituação de acidente em serviço e dá outras providências,
é correto afirmar que
Ano: 2023
Banca:
VUNESP
Órgão:
PM-SP
Prova:
VUNESP - 2023 - PM-SP - Auxiliar de Oficiais da Polícia Militar |
Q4256034
Legislação Estadual
Nos termos do Decreto-Lei nº
260/70, que dispõe sobre
a inatividade dos componentes da PMESP, é correto afirmar que a idade-limite para permanência do militar na
reserva é
Conheça nossos planos