Questões de Concurso Para analista de tecnologia da informação - desenvolvimento de sistemas
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Ano: 2021
Banca:
FGV
Órgão:
Banestes
Provas:
FGV - 2021 - Banestes - Analista em Tecnologia da Informação - Desenvolvimento de Sistemas
|
FGV - 2021 - Banestes - Analista em Tecnologia da Informação - Segurança da Informação |
FGV - 2021 - Banestes - Analista em Tecnologia da Informação - Suporte e Infraestrutura |
Q1866280
Português
Observe a seguinte descrição de um museu: “Do lado de fora e diante da porta central, pude observar a enorme porta, de estilo antigo, de madeira sólida, cercada de um pequeno friso de pedra, talvez por exigência do estilo da época; ao lado, uma série de janelas do mesmo material, que, em função do horário, ainda estavam fechadas.”
Nessa descrição, nem todos os elementos do museu estão
presentes; isso ocorre em muitas descrições por diferentes
limitações de quem descreve.
No caso desse segmento, a limitação descritiva provém:
Ano: 2021
Banca:
FGV
Órgão:
Banestes
Provas:
FGV - 2021 - Banestes - Analista em Tecnologia da Informação - Desenvolvimento de Sistemas
|
FGV - 2021 - Banestes - Analista em Tecnologia da Informação - Segurança da Informação |
FGV - 2021 - Banestes - Analista em Tecnologia da Informação - Suporte e Infraestrutura |
Q1866279
Português
Um técnico de futebol, após um primeiro tempo difícil, declarou que seu time “ia continuar marcando sob pressão”. Nesse caso, pode-se entender que o time está marcando com pressão sobre si mesmo, em lugar de pressionando o adversário.
A frase abaixo, também ligada ao mundo do futebol, que está perfeitamente lógica e coerente é:
Ano: 2021
Banca:
INSTITUTO AOCP
Órgão:
FUNPRESP-JUD
Prova:
INSTITUTO AOCP - 2021 - FUNPRESP-JUD - Analista de Tecnologia da Informação - Desenvolvimento de Sistemas |
Q1855674
Inglês
Texto associado
Taking into account the following text, judge
the subsequent item.
Perspectives on modern data analytics
By Eric Knorr - Editor in Chief, CIO | APR 12,
2021 3:00 AM PDT
Some things don't change, even during a
pandemic. Consistent with previous years, in
CIO’s 2021 State of the CIO survey, a plurality of
the 1,062 IT leaders surveyed chose
“data/business analytics” as the No.1 tech
initiative expected to drive IT investment.
Unfortunately, analytics initiatives seldom do
nearly as well when it comes to stakeholder
satisfaction.
Last year, CIO contributor Mary K. Pratt offered
an excellent analysis of why data analytics
initiatives still fail, including poor-quality or siloed
data, vague rather than targeted business
objectives, and clunky one-size-fits-all feature
sets. But a number of fresh approaches and
technologies are making these pratfalls less
likely.
(...)
New technology invariably incurs new risks. No
advancement has had more momentous impact
on analytics than machine learning – from
automating data prep to detecting meaningful
patterns in data – but it also adds an unforeseen
hazard. As CSO Senior Writer Lucian Constantin
explains in "How data poisoning attacks corrupt
machine learning models," deliberately skewed
data injected by malicious hackers can tilt models toward some nefarious goal. The result could be,
say, manipulated product recommendations, or
even the ability for hackers to infer confidential
underlying data.
(...)
In the end, the secret to successful analytics is
not in choosing and implementing the perfect
technology, but in cultivating a broad
understanding that pervasive analytics yields
better decisions and superior outcomes. Usually,
you can iron out technology kinks or
requirements misunderstandings. But if you can't
change the mindset, few will use the beautiful
analytics machine you just built.
Disponível em: https://www.cio.com/article/3614692/5-perspectiveson-modern-data-analytics.html.
Acesso em: 15 out. 2021.
The adjective “pervasive” in pervasive
analytics could be replaced by the adjective
“extensive” without a change in meaning in
the aforementioned context.
Ano: 2021
Banca:
INSTITUTO AOCP
Órgão:
FUNPRESP-JUD
Prova:
INSTITUTO AOCP - 2021 - FUNPRESP-JUD - Analista de Tecnologia da Informação - Desenvolvimento de Sistemas |
Q1855673
Inglês
Texto associado
Taking into account the following text, judge
the subsequent item.
Perspectives on modern data analytics
By Eric Knorr - Editor in Chief, CIO | APR 12,
2021 3:00 AM PDT
Some things don't change, even during a
pandemic. Consistent with previous years, in
CIO’s 2021 State of the CIO survey, a plurality of
the 1,062 IT leaders surveyed chose
“data/business analytics” as the No.1 tech
initiative expected to drive IT investment.
Unfortunately, analytics initiatives seldom do
nearly as well when it comes to stakeholder
satisfaction.
Last year, CIO contributor Mary K. Pratt offered
an excellent analysis of why data analytics
initiatives still fail, including poor-quality or siloed
data, vague rather than targeted business
objectives, and clunky one-size-fits-all feature
sets. But a number of fresh approaches and
technologies are making these pratfalls less
likely.
(...)
New technology invariably incurs new risks. No
advancement has had more momentous impact
on analytics than machine learning – from
automating data prep to detecting meaningful
patterns in data – but it also adds an unforeseen
hazard. As CSO Senior Writer Lucian Constantin
explains in "How data poisoning attacks corrupt
machine learning models," deliberately skewed
data injected by malicious hackers can tilt models toward some nefarious goal. The result could be,
say, manipulated product recommendations, or
even the ability for hackers to infer confidential
underlying data.
(...)
In the end, the secret to successful analytics is
not in choosing and implementing the perfect
technology, but in cultivating a broad
understanding that pervasive analytics yields
better decisions and superior outcomes. Usually,
you can iron out technology kinks or
requirements misunderstandings. But if you can't
change the mindset, few will use the beautiful
analytics machine you just built.
Disponível em: https://www.cio.com/article/3614692/5-perspectiveson-modern-data-analytics.html.
Acesso em: 15 out. 2021.
The advancements on machine learning
have always been preventing hackers from
inferring confidential data or manipulating
product recommendations when it comes
to business analytics.
Ano: 2021
Banca:
INSTITUTO AOCP
Órgão:
FUNPRESP-JUD
Prova:
INSTITUTO AOCP - 2021 - FUNPRESP-JUD - Analista de Tecnologia da Informação - Desenvolvimento de Sistemas |
Q1855672
Inglês
Texto associado
Taking into account the following text, judge
the subsequent item.
Perspectives on modern data analytics
By Eric Knorr - Editor in Chief, CIO | APR 12,
2021 3:00 AM PDT
Some things don't change, even during a
pandemic. Consistent with previous years, in
CIO’s 2021 State of the CIO survey, a plurality of
the 1,062 IT leaders surveyed chose
“data/business analytics” as the No.1 tech
initiative expected to drive IT investment.
Unfortunately, analytics initiatives seldom do
nearly as well when it comes to stakeholder
satisfaction.
Last year, CIO contributor Mary K. Pratt offered
an excellent analysis of why data analytics
initiatives still fail, including poor-quality or siloed
data, vague rather than targeted business
objectives, and clunky one-size-fits-all feature
sets. But a number of fresh approaches and
technologies are making these pratfalls less
likely.
(...)
New technology invariably incurs new risks. No
advancement has had more momentous impact
on analytics than machine learning – from
automating data prep to detecting meaningful
patterns in data – but it also adds an unforeseen
hazard. As CSO Senior Writer Lucian Constantin
explains in "How data poisoning attacks corrupt
machine learning models," deliberately skewed
data injected by malicious hackers can tilt models toward some nefarious goal. The result could be,
say, manipulated product recommendations, or
even the ability for hackers to infer confidential
underlying data.
(...)
In the end, the secret to successful analytics is
not in choosing and implementing the perfect
technology, but in cultivating a broad
understanding that pervasive analytics yields
better decisions and superior outcomes. Usually,
you can iron out technology kinks or
requirements misunderstandings. But if you can't
change the mindset, few will use the beautiful
analytics machine you just built.
Disponível em: https://www.cio.com/article/3614692/5-perspectiveson-modern-data-analytics.html.
Acesso em: 15 out. 2021.
According to the CIO’s 2021 State of the
CIO survey, the technology enterprise
which will probably demand IT investment
in the near future will be business analytics.
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