Questões de Concurso Militar PM-SP 2021 para Aluno - Oficial PM

Foram encontradas 80 questões

Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795547 Inglês

How facial recognition technology aids police




Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.


By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

In “Until now, however”, the word “however” introduces the notion of
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795548 Inglês

How facial recognition technology aids police




Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.


By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

The word that may replace “In fact” in “In fact, it is so important”, without change in meaning, is
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795549 Inglês

How facial recognition technology aids police




Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.


By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

The word “while” in “While a number of UK and international police forces have been enthusiastically exploring the potential of AFR” has the same meaning as
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795550 Inglês

How facial recognition technology aids police




Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.

One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.

Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.

[…]

As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.

With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.


By Bethan Davies, Andrew Dawson, Martin Innes (Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)

In the first paragraph, the pronoun “it” in “officers believe possessing it” refers to the
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795551 Matemática
Em certa cidade, o número de furtos de automóveis em maio de 2020 foi 40% menor do que em janeiro de 2020. De maio de 2020 para janeiro de 2021, houve um aumento de 45% no número de furtos de automóveis.
Nessa cidade, de janeiro de 2020 para janeiro de 2021, com relação ao número de furtos de automóveis, houve
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795552 Matemática
180 soldados serão posicionados no pátio do quartel, arrumados em linhas e colunas, de maneira a formar um retângulo perfeito. Sabe-se que tanto o número de linhas quanto o número de colunas do retângulo não podem ser menores que 5.
O maior número de arrumações possíveis para esse retângulo de soldados é
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795553 Matemática
Em um grupo de N pessoas, há 12 homens a mais do que mulheres. Retirando-se 6 homens desse grupo, a razão entre o número de homens e o número de mulheres passa a ser de 7/5 .
O valor de N é
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795554 Matemática
Um sargento organizou um grupo de soldados em 16 filas, com 2 soldados na primeira fila e 3 soldados a mais em cada fila subsequente: 2, 5, 8, 11, ...
Se o sargento organizasse o mesmo grupo de soldados em filas de 14 soldados cada uma, o número total de filas seria
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795555 Matemática
Joana pagou uma conta vencida, com juros de 5%, no valor total (juros incluídos) de R$ 382,20. Se Joana tivesse pagado a conta até o vencimento, teria economizado
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795556 Matemática
Considere todos os anagramas da palavra BRASIL. O número de anagramas que não têm as vogais juntas é
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795557 Matemática

Ao resolver certo problema, encontramos a equação exponencial ܽax =100.


Sabendo que o logaritmo decimal de ܽa é igual a 0,54, o valor de x é, aproximadamente,

Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795558 Matemática
Para abastecer os carros da corporação, há um tanque cilíndrico de combustível, com 2 m de diâmetro e 1,5 m de altura.
A capacidade desse tanque é de, aproximadamente,
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795559 Matemática
Em certa cidade, verificou-se que a quantidade de assaltos ocorridos em cada mês era inversamente proporcional ao número de policiais presentes no patrulhamento das ruas nesse mês.
Sabe-se que, em abril, 400 policiais estiveram presentes no patrulhamento e 30 assaltos ocorreram, e que, em maio, o número de assaltos caiu para 24.
O número de policiais que estiveram presentes no patrulhamento no mês de maio foi
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795560 Matemática
Considere a equação x2 + x - 3 = 0.
A soma dos cubos das raízes dessa equação é
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795561 Matemática
A figura a seguir mostra a quadra retangular ABCD de um quartel, com 30 m de comprimento e 21 m de largura, dividida em quadrados iguais.
Imagem associada para resolução da questão

Dois soldados, Pedro e Paulo, caminharam de A até C por caminhos diferentes: Pedro percorreu os lados AB e BC, e Paulo percorreu os segmentos AP, PQ e QC.
É correto concluir que
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795562 Matemática
O retângulo ABCD da figura a seguir tem as dimensões AB = 10 e BC = 6.
Imagem associada para resolução da questão

O ponto E do lado CD é tal que o segmento AE divide o retângulo em duas partes de forma que a área de uma seja o dobro da área da outra.
O segmento DE mede
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795563 Física
Um policial militar recebe a incumbência de medir a tensão (diferença de potencial) que uma bateria mantém em seus terminais ao alimentar uma lâmpada de incandescência de resistência R, bem como de medir também a intensidade de corrente que percorre a lâmpada. Para isso, dispõe de um voltímetro (ideal) Imagem associada para resolução da questão e um amperímetro (ideal) Imagem associada para resolução da questão
A maneira correta de ligar esses dispositivos para efetuar as medições está indicada no esquema
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795564 Física
Para aquecer a água contida em um recipiente isolado termicamente do meio ambiente, dispõe-se de uma fonte de tensão capaz de manter em seus terminais uma diferença de potencial constante, sob quaisquer condições, e três resistores de imersão idênticos, todos de mesma resistência R.
O aquecimento será mais rápido se os resistores forem ligados à fonte de tensão, como apresentado no esquema
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795565 Física
Um policial militar deve transportar uma caixa de munição em um elevador que pode se mover verticalmente. Para sustentar a caixa em repouso em relação ao elevador, ele precisa exercer, sobre ela, uma força Imagem associada para resolução da questãocom o elevador subindo em movimento acelerado; uma força Imagem associada para resolução da questão com o elevador subindo em movimento uniforme; e uma força Imagem associada para resolução da questão com o elevador subindo em movimento retardado.
Essas forças Imagem associada para resolução da questão, Imagem associada para resolução da questão e Imagem associada para resolução da questão são tais que
Alternativas
Ano: 2021 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2021 - PM-SP - Aluno - Oficial PM |
Q1795566 Física
Um projétil é lançado verticalmente para cima a partir do solo e, após atingir a altura máxima Hmáx, retorna ao ponto de lançamento.
Considere a aceleração da gravidade constante e desprezível a resistência do ar.
Os gráficos que melhor representam como a energia cinética e a energia potencial gravitacional do projétil variam, em função de sua altura h durante a subida, são
Alternativas
Respostas
41: B
42: E
43: C
44: A
45: D
46: D
47: B
48: D
49: A
50: C
51: D
52: C
53: E
54: B
55: A
56: C
57: A
58: A
59: A
60: C