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Q3111069 Serviço Social
Acerca da formulação de projetos de intervenção profissional do assistente social, julgue o item a seguir. 

A identificação da instituição que requisitou o assistente social é elemento constitutivo do projeto de trabalho em serviço social, assim como a identificação dos recursos de que tal instituição dispõe, dos serviços que oferece à população e das necessidades sociais da população que se propõe a atender. 
Alternativas
Q3111068 Serviço Social
Acerca da formulação de projetos de intervenção profissional do assistente social, julgue o item a seguir. 

Visando responder às demandas organizacionais, cabe aos assistentes sociais acatar e reproduzir integralmente o projeto institucional.
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Q3111067 Serviço Social
A legislação que dispõe sobre a profissão de assistente social prevê as atribuições privativas e as competências do assistente social. A esse respeito, julgue o próximo item.

Constitui uma competência do assistente social prestar assessoria e consultoria a órgãos da administração pública direta e indireta, a empresas privadas e outras entidades em matéria de serviço social. 
Alternativas
Q3111066 Serviço Social
A legislação que dispõe sobre a profissão de assistente social prevê as atribuições privativas e as competências do assistente social. A esse respeito, julgue o próximo item.

É atribuição privativa do assistente social elaborar, coordenar, executar e avaliar planos, programas e projetos que sejam do âmbito de atuação do serviço social com participação da sociedade civil. 
Alternativas
Q3111065 Serviço Social
A legislação que dispõe sobre a profissão de assistente social prevê as atribuições privativas e as competências do assistente social. A esse respeito, julgue o próximo item.

É uma competência não privativa do assistente social coordenar, executar e supervisionar estudos na área de serviço social.  
Alternativas
Q3111064 Serviço Social
Com base nas resoluções do Conselho Federal de Serviço Social, julgue o item subsequente. 

Ao atuar em equipe multiprofissional, o assistente social deverá respeitar as normas e os limites legais, técnicos e normativos das profissões dos outros membros da equipe.
Alternativas
Q3111063 Serviço Social
Com base nas resoluções do Conselho Federal de Serviço Social, julgue o item subsequente. 

Em contexto de intervenção conjunta com outra categoria profissional, a opinião técnica do assistente social sobre o objeto de intervenção deve destacar a sua área de conhecimento separadamente, determinar o âmbito de sua atuação, seu objeto, os instrumentos utilizados e a análise social realizada. 
Alternativas
Q3111012 Inglês
    The Internet, as anyone who works deep in its trenches will tell you, is not a smooth, well-oiled machine. It’s a messy patchwork that has been assembled over decades, and it is held together with the digital equivalent of duct tape and bubble gum. Much of it relies on open-source software that is thanklessly maintained by a small army of volunteer programmers who fix the bugs.
Internet: <www.nytimes.com> (adapted). 

Considering the previous text and its linguistic aspects, judge the following item.

The Internet depends on software that is poorly maintained by a large team of volunteer programmers.
Alternativas
Q3111011 Inglês
    The Internet, as anyone who works deep in its trenches will tell you, is not a smooth, well-oiled machine. It’s a messy patchwork that has been assembled over decades, and it is held together with the digital equivalent of duct tape and bubble gum. Much of it relies on open-source software that is thanklessly maintained by a small army of volunteer programmers who fix the bugs.
Internet: <www.nytimes.com> (adapted). 

Considering the previous text and its linguistic aspects, judge the following item.

The author suggests that the Internet is, metaphorically speaking, a malfunctioning machine.
Alternativas
Q3111010 Inglês
    The Internet, as anyone who works deep in its trenches will tell you, is not a smooth, well-oiled machine. It’s a messy patchwork that has been assembled over decades, and it is held together with the digital equivalent of duct tape and bubble gum. Much of it relies on open-source software that is thanklessly maintained by a small army of volunteer programmers who fix the bugs.
Internet: <www.nytimes.com> (adapted). 

Considering the previous text and its linguistic aspects, judge the following item.

The word “it”, in the last sentence of the text, refers to “bubble gum”, mentioned in the prior sentence. 
Alternativas
Q3111009 Inglês
    “Certainly, here is a possible introduction for your topic...”, began a recent article in Surfaces and Interfaces, a scientific journal. Attentive readers might have wondered who exactly that bizarre opening line was addressing. They might also have wondered whether the article was written by a human or by a machine.      It is a question ever more readers of scientific papers are asking. LLMs (Large Language Models) are now more than good enough to help write a scientific paper. They can breathe life into dense scientific prose and speed up the drafting process, especially for non-native English speakers. Such use also comes with risks: LLMs are particularly susceptible to reproducing biases, for example, and can churn out vast amounts of plausible nonsense. 
Internet:<economist.com>(adapted). 

According to the information stated in the preceding text and the vocabulary used in it, judge the following item.

The first sentence of the second paragraph could be correctly rewritten as It is a question that readers of scientific papers are increasingly asking.
Alternativas
Q3111008 Inglês
    “Certainly, here is a possible introduction for your topic...”, began a recent article in Surfaces and Interfaces, a scientific journal. Attentive readers might have wondered who exactly that bizarre opening line was addressing. They might also have wondered whether the article was written by a human or by a machine.      It is a question ever more readers of scientific papers are asking. LLMs (Large Language Models) are now more than good enough to help write a scientific paper. They can breathe life into dense scientific prose and speed up the drafting process, especially for non-native English speakers. Such use also comes with risks: LLMs are particularly susceptible to reproducing biases, for example, and can churn out vast amounts of plausible nonsense. 
Internet:<economist.com>(adapted). 

According to the information stated in the preceding text and the vocabulary used in it, judge the following item.

The article mentioned in the first paragraph of the text was written with the help of LLMs.
Alternativas
Q3111007 Inglês
    “Certainly, here is a possible introduction for your topic...”, began a recent article in Surfaces and Interfaces, a scientific journal. Attentive readers might have wondered who exactly that bizarre opening line was addressing. They might also have wondered whether the article was written by a human or by a machine.      It is a question ever more readers of scientific papers are asking. LLMs (Large Language Models) are now more than good enough to help write a scientific paper. They can breathe life into dense scientific prose and speed up the drafting process, especially for non-native English speakers. Such use also comes with risks: LLMs are particularly susceptible to reproducing biases, for example, and can churn out vast amounts of plausible nonsense. 
Internet:<economist.com>(adapted). 

According to the information stated in the preceding text and the vocabulary used in it, judge the following item.

The expression “churn out” (last sentence of the text) could be replaced with crank out, without harming the correctness of the sentence or its original meaning.  
Alternativas
Q3111006 Inglês
    “Certainly, here is a possible introduction for your topic...”, began a recent article in Surfaces and Interfaces, a scientific journal. Attentive readers might have wondered who exactly that bizarre opening line was addressing. They might also have wondered whether the article was written by a human or by a machine.      It is a question ever more readers of scientific papers are asking. LLMs (Large Language Models) are now more than good enough to help write a scientific paper. They can breathe life into dense scientific prose and speed up the drafting process, especially for non-native English speakers. Such use also comes with risks: LLMs are particularly susceptible to reproducing biases, for example, and can churn out vast amounts of plausible nonsense. 
Internet:<economist.com>(adapted). 

According to the information stated in the preceding text and the vocabulary used in it, judge the following item.

Large Language Models are able to produce flawless scientific texts.
Alternativas
Q3111005 Inglês
    “Certainly, here is a possible introduction for your topic...”, began a recent article in Surfaces and Interfaces, a scientific journal. Attentive readers might have wondered who exactly that bizarre opening line was addressing. They might also have wondered whether the article was written by a human or by a machine.      It is a question ever more readers of scientific papers are asking. LLMs (Large Language Models) are now more than good enough to help write a scientific paper. They can breathe life into dense scientific prose and speed up the drafting process, especially for non-native English speakers. Such use also comes with risks: LLMs are particularly susceptible to reproducing biases, for example, and can churn out vast amounts of plausible nonsense. 
Internet:<economist.com>(adapted). 

According to the information stated in the preceding text and the vocabulary used in it, judge the following item.

The word “biases” (last sentence of the text) is, in its context, an adverb.
Alternativas
Q3111004 Banco de Dados
Julgue o item a seguir, a respeito de técnicas de ingestão de dados, análise de dados e Big Data.

Na abordagem ETL, os dados são carregados no mesmo estado em que foram extraídos e são transformados no estágio posterior ao carregamento.
Alternativas
Q3111003 Banco de Dados
Julgue o item a seguir, a respeito de técnicas de ingestão de dados, análise de dados e Big Data.

Na ingestão de dados, a arquitetura lambda utiliza o processamento em lote para fornecer visualizações das informações e utiliza a atualização em tempo real para ajudar os gestores a visualizarem dados críticos e urgentes.
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Q3111002 Banco de Dados
Julgue o item a seguir, a respeito de técnicas de ingestão de dados, análise de dados e Big Data.

No armazenamento de dados em Big Data, valor é o critério que observa a integração de informações coletadas em diferentes fontes, com vistas a enriquecer as análises. 
Alternativas
Q3111001 Banco de Dados
Em relação a banco de dados em memória, soluções para Big Data e dados estruturados e não estruturados, julgue o item que se segue.

O Hadoop é uma solução para Big Data e foi desenvolvido para armazenar e processar dados em diferentes máquinas com alta velocidade e baixo custo, permitindo a integração de dados por meio da orquestração deles.
Alternativas
Q3111000 Banco de Dados
Em relação a banco de dados em memória, soluções para Big Data e dados estruturados e não estruturados, julgue o item que se segue.

Os bancos de dados em memória apresentam baixa latência, respostas em tempo real e baixo throughput.
Alternativas
Respostas
16941: C
16942: E
16943: C
16944: E
16945: E
16946: C
16947: C
16948: E
16949: C
16950: E
16951: C
16952: E
16953: C
16954: E
16955: E
16956: E
16957: C
16958: E
16959: C
16960: E