Questões de Vestibular Sobre análise sintática | syntax parsing em inglês

Foram encontradas 138 questões

Ano: 2010 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2010 - UECE - Vestibular - Segunda Fase - Redação e Inglês |
Q1273366 Inglês
In the sentences “In a chaotic world, which many see to be on a disaster course, through the cracks, „the faults in reality‟, we and our writers catch other vertiginous glimpses of „chaos and old night‟”, “The satiety which Macbeth claimed to have experienced (… ) was representative of it.” and “…people have tried to come to terms with and find adequate descriptions and symbols for deeply rooted, primitive and powerful forces, energies and fears which are related to death, afterlife, punishment, darkness, evil, violence and destruction.” one finds relative clauses classified respectively as
Alternativas
Ano: 2010 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2010 - UECE - Vestibular - Segunda Fase - Redação e Inglês |
Q1273362 Inglês
The sentences “He depicts extremes of fear and insanity and, through the operations of evil, gives us glimpses of hell.” “Fear created horrors enough and the eschatological order was never far from people‟s minds.” and “From late in the 18th c. until the present day – in short, for some two hundred years – the horror story in its many and various forms has been a diachronic feature of British and American literature…” should be classified respectively as
Alternativas
Ano: 2010 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2010 - UECE - Vestibular - Segunda Fase - Redação e Inglês |
Q1273361 Inglês
In the sentence “Gothic influence traveled to America and affected writers such as Edgar Allan Poe, whose tales are short, intense, sensational and have the power to inspire horror and terror.” one may find at least one
Alternativas
Ano: 2013 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261840 Inglês
TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
In the following question, some sentences from the text may have been modified to fit certain grammatical structures.

The sentences “…they know it will make them employable.” and “…Amazon tells them what books they should read” contain, respectively, a/an
Alternativas
Ano: 2013 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261839 Inglês
TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
In the following question, some sentences from the text may have been modified to fit certain grammatical structures.
The sentences “Ethics classes address these questions.” and “The United States will need a great number of graduates with skills handling large amounts of data.” contain, respectively, a/an
Alternativas
Ano: 2013 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261837 Inglês
TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
In the sentences “We’re building these models that have impact on human life.” and “She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service.” one finds, respectively, a/an
Alternativas
Ano: 2013 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261836 Inglês
TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
The sentence “She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings.” contains
Alternativas
Ano: 2013 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261835 Inglês
TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
The sentences “In the fall, Columbia will offer new master’s and certificate programs heavy on data.” and “Data scientists are the magicians of the Big Data era.” contain, respectively, at least one
Alternativas
Ano: 2013 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261833 Inglês
TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
The sentences “Many use data sets provided by businesses or government, and pass back their results.” and “Because data science is so new, universities are scrambling to define it…” contain, respectively, a
Alternativas
Ano: 2013 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261832 Inglês
TEXT
   
   HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
   The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
     In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
      Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
      Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
     Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
     “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
  Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
      Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
    With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
     Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
     Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
       Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

From: www.nytimes.com
The sentences “They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it…” and “In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data...” should be classified respectively as
Alternativas
Ano: 2017 Banca: UFRGS Órgão: UFRGS Prova: UFRGS - 2017 - UFRGS - Vestibular 1º Dia |
Q1261515 Inglês

Adaptado de: SHAKESPEARE, W. The Life and Death of

Julius Caesar. Disponível em:

<http://shakespeare.mit.edu/ julius_caesar/full.html>.

Acesso em: 12 nov. 2016.

Em qual das alternativas abaixo o segmento grifado apresenta a mesma função gramatical de what I do know (l. 29)?
Alternativas
Ano: 2019 Banca: UERJ Órgão: UERJ Prova: UERJ - 2019 - UERJ - Vestibular - Segundo Exame |
Q1041045 Inglês

test subjects were asked to read short paragraphs (ℓ. 14)

The reason for the omission of the agent in the sentence above is:

Alternativas
Ano: 2015 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2015 - UECE - Língua Inglesa - 2ª Fase - 1º dia |
Q705506 Inglês

TEXT

    A library tradition is being refashioned to emphasize early literacy and better prepare young children for school, and drawing many new fans in the process.

    Among parents of the under-5 set, spots for story time have become as coveted as seats for a hot Broadway show like “Hamilton.” Lines stretch down the block at some branches, with tickets given out on a first-come-first-served basis because there is not enough room to accommodate all of the children who show up.

    Workers at the 67th Street Library on the Upper East Side of Manhattan turn away at least 10 people from every reading. They have been so overwhelmed by the rush at story time — held in the branch’s largest room, on the third floor — that once the space is full, they close the door and shut down the elevator. “It is so crowded and so popular, it’s insane,” Jacqueline Schector, a librarian, said.

    Story time is drawing capacity crowds at public libraries across New York and across the country at a time when, more than ever, educators are emphasizing the importance of early literacy in preparing children for school and for developing critical thinking skills. The demand crosses economic lines, with parents at all income levels vying to get in.

    Many libraries have refashioned the traditional readings to include enrichment activities such as counting numbers and naming colors, as well as music and dance. And many parents have made story time a fixture in their family routines alongside school pickups and playground outings — and, for those who employ nannies, a nonnegotiable requirement of the job.

    In New York, demand for story time has surged across the city’s three library systems — the New York Public Library, the Brooklyn Public Library, and the Queens Library — and has posed logistical challenges for some branches, particularly those in small or cramped buildings. Citywide, story time attendance rose to 510,367 people in fiscal year 2015, up nearly 28 percent from 399,751 in fiscal 2013.

    “The secret’s out,” said Lucy Yates, 44, an opera coach with two sons who goes to story time at the Fort Washington Library every week.

    Stroller-pushing parents and nannies begin to line up for story time outside some branches an hour before doors open. To prevent overcrowding, tickets are given out at the New Amsterdam and Webster branches, both in Manhattan, the Parkchester branch in the Bronx, and a half-dozen branches in Brooklyn, including in Park Slope, Kensington and Bay Ridge.

    The 67th Street branch keeps adding story times — there are now six a week — and holds sessions outdoors in the summer, when crowds can swell to 200 people.

    In Queens, 41 library branches are scheduled to add weekend hours this month, and many will undoubtedly include weekend story times. As Joanne King, a spokeswoman for the library explained, parents have been begging for them and “every story time is full, every time we have one.”

    Long a library staple, story time has typically been an informal reading to a small group of boys and girls sitting in a circle. Today’s story times involve carefully planned lessons by specially trained librarians that emphasize education as much as entertainment, and often include suggestions for parents and caregivers about how to reinforce what children have learned, library officials said.

    Libraries around the country have expanded story time and other children’s programs in recent years, attracting a new generation of patrons in an age when online offerings sometimes make trips to the book stacks unnecessary. Sari Feldman, president of the American Library Association, said such early-literacy efforts are part of a larger transformation libraries are undergoing to become active learning centers for their communities by offering services like classes in English as a second language, computer skills and career counseling.

    Ms. Feldman said the increased demand for story time was a product, in part, of more than a decade of work by the library association and others to encourage libraries to play a larger role in preparing young children for school. In 2004, as part of that effort, the association developed a curriculum, “Every Child Ready to Read,” that she said is now used by thousands of libraries.

    The New York Public Library is adding 45 children’s librarians to support story time and other programs, some of which are run in partnership with the city government. It has also designated 20 of its 88 neighborhood branches, including the Fort Washington Library, as “enhanced literary sites.” As such, they will double their story time sessions, to an average of four a week, and distribute 15,000 “family literacy kits” that include a book and a schedule of story times.

    “It is clear that reading and being exposed to books early in life are critical factors in student success,” Anthony W. Marx, president of the New York Public Library, said. “The library is playing an increasingly important role in strengthening early literacy in this city, expanding efforts to bring reading to children and their families through quality, free story times, curated literacy programs, after-school programs and more.”

    For its part, the Queens Library plans to expand a “Kick Off to Kindergarten” program that attracted more than 180 families for a series of workshops last year. Library officials said that more than three-quarters of the children who enrolled, many of whom spoke a language other than English at home, developed measurable classroom skills.

From: www.nytimes.com/2015/11/02

In the sentences “Today’s story times involve carefully planned lessons by specially trained librarians…” and “Many libraries have refashioned the traditional readings…” contain respectively a/an
Alternativas
Ano: 2015 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2015 - UECE - Língua Inglesa - 2ª Fase - 1º dia |
Q705503 Inglês

TEXT

    A library tradition is being refashioned to emphasize early literacy and better prepare young children for school, and drawing many new fans in the process.

    Among parents of the under-5 set, spots for story time have become as coveted as seats for a hot Broadway show like “Hamilton.” Lines stretch down the block at some branches, with tickets given out on a first-come-first-served basis because there is not enough room to accommodate all of the children who show up.

    Workers at the 67th Street Library on the Upper East Side of Manhattan turn away at least 10 people from every reading. They have been so overwhelmed by the rush at story time — held in the branch’s largest room, on the third floor — that once the space is full, they close the door and shut down the elevator. “It is so crowded and so popular, it’s insane,” Jacqueline Schector, a librarian, said.

    Story time is drawing capacity crowds at public libraries across New York and across the country at a time when, more than ever, educators are emphasizing the importance of early literacy in preparing children for school and for developing critical thinking skills. The demand crosses economic lines, with parents at all income levels vying to get in.

    Many libraries have refashioned the traditional readings to include enrichment activities such as counting numbers and naming colors, as well as music and dance. And many parents have made story time a fixture in their family routines alongside school pickups and playground outings — and, for those who employ nannies, a nonnegotiable requirement of the job.

    In New York, demand for story time has surged across the city’s three library systems — the New York Public Library, the Brooklyn Public Library, and the Queens Library — and has posed logistical challenges for some branches, particularly those in small or cramped buildings. Citywide, story time attendance rose to 510,367 people in fiscal year 2015, up nearly 28 percent from 399,751 in fiscal 2013.

    “The secret’s out,” said Lucy Yates, 44, an opera coach with two sons who goes to story time at the Fort Washington Library every week.

    Stroller-pushing parents and nannies begin to line up for story time outside some branches an hour before doors open. To prevent overcrowding, tickets are given out at the New Amsterdam and Webster branches, both in Manhattan, the Parkchester branch in the Bronx, and a half-dozen branches in Brooklyn, including in Park Slope, Kensington and Bay Ridge.

    The 67th Street branch keeps adding story times — there are now six a week — and holds sessions outdoors in the summer, when crowds can swell to 200 people.

    In Queens, 41 library branches are scheduled to add weekend hours this month, and many will undoubtedly include weekend story times. As Joanne King, a spokeswoman for the library explained, parents have been begging for them and “every story time is full, every time we have one.”

    Long a library staple, story time has typically been an informal reading to a small group of boys and girls sitting in a circle. Today’s story times involve carefully planned lessons by specially trained librarians that emphasize education as much as entertainment, and often include suggestions for parents and caregivers about how to reinforce what children have learned, library officials said.

    Libraries around the country have expanded story time and other children’s programs in recent years, attracting a new generation of patrons in an age when online offerings sometimes make trips to the book stacks unnecessary. Sari Feldman, president of the American Library Association, said such early-literacy efforts are part of a larger transformation libraries are undergoing to become active learning centers for their communities by offering services like classes in English as a second language, computer skills and career counseling.

    Ms. Feldman said the increased demand for story time was a product, in part, of more than a decade of work by the library association and others to encourage libraries to play a larger role in preparing young children for school. In 2004, as part of that effort, the association developed a curriculum, “Every Child Ready to Read,” that she said is now used by thousands of libraries.

    The New York Public Library is adding 45 children’s librarians to support story time and other programs, some of which are run in partnership with the city government. It has also designated 20 of its 88 neighborhood branches, including the Fort Washington Library, as “enhanced literary sites.” As such, they will double their story time sessions, to an average of four a week, and distribute 15,000 “family literacy kits” that include a book and a schedule of story times.

    “It is clear that reading and being exposed to books early in life are critical factors in student success,” Anthony W. Marx, president of the New York Public Library, said. “The library is playing an increasingly important role in strengthening early literacy in this city, expanding efforts to bring reading to children and their families through quality, free story times, curated literacy programs, after-school programs and more.”

    For its part, the Queens Library plans to expand a “Kick Off to Kindergarten” program that attracted more than 180 families for a series of workshops last year. Library officials said that more than three-quarters of the children who enrolled, many of whom spoke a language other than English at home, developed measurable classroom skills.

From: www.nytimes.com/2015/11/02

In the sentence “In New York, demand for story time has surged across the city’s three library systems — the New York Public Library, the Brooklyn Public Library, and the Queens Library — and has posed logistical challenges for some branches…” the link between the two clauses is established by a/an
Alternativas
Ano: 2015 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2015 - UECE - Língua Inglesa - 2ª Fase - 1º dia |
Q705501 Inglês

TEXT

    A library tradition is being refashioned to emphasize early literacy and better prepare young children for school, and drawing many new fans in the process.

    Among parents of the under-5 set, spots for story time have become as coveted as seats for a hot Broadway show like “Hamilton.” Lines stretch down the block at some branches, with tickets given out on a first-come-first-served basis because there is not enough room to accommodate all of the children who show up.

    Workers at the 67th Street Library on the Upper East Side of Manhattan turn away at least 10 people from every reading. They have been so overwhelmed by the rush at story time — held in the branch’s largest room, on the third floor — that once the space is full, they close the door and shut down the elevator. “It is so crowded and so popular, it’s insane,” Jacqueline Schector, a librarian, said.

    Story time is drawing capacity crowds at public libraries across New York and across the country at a time when, more than ever, educators are emphasizing the importance of early literacy in preparing children for school and for developing critical thinking skills. The demand crosses economic lines, with parents at all income levels vying to get in.

    Many libraries have refashioned the traditional readings to include enrichment activities such as counting numbers and naming colors, as well as music and dance. And many parents have made story time a fixture in their family routines alongside school pickups and playground outings — and, for those who employ nannies, a nonnegotiable requirement of the job.

    In New York, demand for story time has surged across the city’s three library systems — the New York Public Library, the Brooklyn Public Library, and the Queens Library — and has posed logistical challenges for some branches, particularly those in small or cramped buildings. Citywide, story time attendance rose to 510,367 people in fiscal year 2015, up nearly 28 percent from 399,751 in fiscal 2013.

    “The secret’s out,” said Lucy Yates, 44, an opera coach with two sons who goes to story time at the Fort Washington Library every week.

    Stroller-pushing parents and nannies begin to line up for story time outside some branches an hour before doors open. To prevent overcrowding, tickets are given out at the New Amsterdam and Webster branches, both in Manhattan, the Parkchester branch in the Bronx, and a half-dozen branches in Brooklyn, including in Park Slope, Kensington and Bay Ridge.

    The 67th Street branch keeps adding story times — there are now six a week — and holds sessions outdoors in the summer, when crowds can swell to 200 people.

    In Queens, 41 library branches are scheduled to add weekend hours this month, and many will undoubtedly include weekend story times. As Joanne King, a spokeswoman for the library explained, parents have been begging for them and “every story time is full, every time we have one.”

    Long a library staple, story time has typically been an informal reading to a small group of boys and girls sitting in a circle. Today’s story times involve carefully planned lessons by specially trained librarians that emphasize education as much as entertainment, and often include suggestions for parents and caregivers about how to reinforce what children have learned, library officials said.

    Libraries around the country have expanded story time and other children’s programs in recent years, attracting a new generation of patrons in an age when online offerings sometimes make trips to the book stacks unnecessary. Sari Feldman, president of the American Library Association, said such early-literacy efforts are part of a larger transformation libraries are undergoing to become active learning centers for their communities by offering services like classes in English as a second language, computer skills and career counseling.

    Ms. Feldman said the increased demand for story time was a product, in part, of more than a decade of work by the library association and others to encourage libraries to play a larger role in preparing young children for school. In 2004, as part of that effort, the association developed a curriculum, “Every Child Ready to Read,” that she said is now used by thousands of libraries.

    The New York Public Library is adding 45 children’s librarians to support story time and other programs, some of which are run in partnership with the city government. It has also designated 20 of its 88 neighborhood branches, including the Fort Washington Library, as “enhanced literary sites.” As such, they will double their story time sessions, to an average of four a week, and distribute 15,000 “family literacy kits” that include a book and a schedule of story times.

    “It is clear that reading and being exposed to books early in life are critical factors in student success,” Anthony W. Marx, president of the New York Public Library, said. “The library is playing an increasingly important role in strengthening early literacy in this city, expanding efforts to bring reading to children and their families through quality, free story times, curated literacy programs, after-school programs and more.”

    For its part, the Queens Library plans to expand a “Kick Off to Kindergarten” program that attracted more than 180 families for a series of workshops last year. Library officials said that more than three-quarters of the children who enrolled, many of whom spoke a language other than English at home, developed measurable classroom skills.

From: www.nytimes.com/2015/11/02

The sentence “Stroller-pushing parents and nannies begin to line up for story time outside some branches an hour before doors open.” is
Alternativas
Ano: 2015 Banca: UECE-CEV Órgão: UECE Prova: UECE-CEV - 2015 - UECE - Língua Inglesa - 2ª Fase - 1º dia |
Q705498 Inglês

TEXT

    A library tradition is being refashioned to emphasize early literacy and better prepare young children for school, and drawing many new fans in the process.

    Among parents of the under-5 set, spots for story time have become as coveted as seats for a hot Broadway show like “Hamilton.” Lines stretch down the block at some branches, with tickets given out on a first-come-first-served basis because there is not enough room to accommodate all of the children who show up.

    Workers at the 67th Street Library on the Upper East Side of Manhattan turn away at least 10 people from every reading. They have been so overwhelmed by the rush at story time — held in the branch’s largest room, on the third floor — that once the space is full, they close the door and shut down the elevator. “It is so crowded and so popular, it’s insane,” Jacqueline Schector, a librarian, said.

    Story time is drawing capacity crowds at public libraries across New York and across the country at a time when, more than ever, educators are emphasizing the importance of early literacy in preparing children for school and for developing critical thinking skills. The demand crosses economic lines, with parents at all income levels vying to get in.

    Many libraries have refashioned the traditional readings to include enrichment activities such as counting numbers and naming colors, as well as music and dance. And many parents have made story time a fixture in their family routines alongside school pickups and playground outings — and, for those who employ nannies, a nonnegotiable requirement of the job.

    In New York, demand for story time has surged across the city’s three library systems — the New York Public Library, the Brooklyn Public Library, and the Queens Library — and has posed logistical challenges for some branches, particularly those in small or cramped buildings. Citywide, story time attendance rose to 510,367 people in fiscal year 2015, up nearly 28 percent from 399,751 in fiscal 2013.

    “The secret’s out,” said Lucy Yates, 44, an opera coach with two sons who goes to story time at the Fort Washington Library every week.

    Stroller-pushing parents and nannies begin to line up for story time outside some branches an hour before doors open. To prevent overcrowding, tickets are given out at the New Amsterdam and Webster branches, both in Manhattan, the Parkchester branch in the Bronx, and a half-dozen branches in Brooklyn, including in Park Slope, Kensington and Bay Ridge.

    The 67th Street branch keeps adding story times — there are now six a week — and holds sessions outdoors in the summer, when crowds can swell to 200 people.

    In Queens, 41 library branches are scheduled to add weekend hours this month, and many will undoubtedly include weekend story times. As Joanne King, a spokeswoman for the library explained, parents have been begging for them and “every story time is full, every time we have one.”

    Long a library staple, story time has typically been an informal reading to a small group of boys and girls sitting in a circle. Today’s story times involve carefully planned lessons by specially trained librarians that emphasize education as much as entertainment, and often include suggestions for parents and caregivers about how to reinforce what children have learned, library officials said.

    Libraries around the country have expanded story time and other children’s programs in recent years, attracting a new generation of patrons in an age when online offerings sometimes make trips to the book stacks unnecessary. Sari Feldman, president of the American Library Association, said such early-literacy efforts are part of a larger transformation libraries are undergoing to become active learning centers for their communities by offering services like classes in English as a second language, computer skills and career counseling.

    Ms. Feldman said the increased demand for story time was a product, in part, of more than a decade of work by the library association and others to encourage libraries to play a larger role in preparing young children for school. In 2004, as part of that effort, the association developed a curriculum, “Every Child Ready to Read,” that she said is now used by thousands of libraries.

    The New York Public Library is adding 45 children’s librarians to support story time and other programs, some of which are run in partnership with the city government. It has also designated 20 of its 88 neighborhood branches, including the Fort Washington Library, as “enhanced literary sites.” As such, they will double their story time sessions, to an average of four a week, and distribute 15,000 “family literacy kits” that include a book and a schedule of story times.

    “It is clear that reading and being exposed to books early in life are critical factors in student success,” Anthony W. Marx, president of the New York Public Library, said. “The library is playing an increasingly important role in strengthening early literacy in this city, expanding efforts to bring reading to children and their families through quality, free story times, curated literacy programs, after-school programs and more.”

    For its part, the Queens Library plans to expand a “Kick Off to Kindergarten” program that attracted more than 180 families for a series of workshops last year. Library officials said that more than three-quarters of the children who enrolled, many of whom spoke a language other than English at home, developed measurable classroom skills.

From: www.nytimes.com/2015/11/02

In “... an opera coach with two sons who goes to story time at the Fort Washington Library every week”, there is an example of
Alternativas
Ano: 2015 Banca: PUC - GO Órgão: PUC-GO Prova: PUC - GO - 2015 - PUC-GO - Vestibular - Segundo Semestre |
Q534016 Inglês
TEXTO 7

                                      Ao mar

    Choveu dias e depois amanheceu. Joel chegou à janela e olhou o quintal: estava tudo inundado! Joel vestiu-se rapidamente, disse adeus à mãe, embarcou numa tábua e pôs-se a remar. Hasteou no mastro uma bandeira com a estrela de David... 

     O barco navegava mansamente. As noites se sucediam, estreladas. No cesto de gávea Joel vigiava e pensava em todos os esplêndidos aventureiros: Krishna, o faquir que ficou cento e dez dias comendo cascas de ovo; Mac-Dougal, o inglês que escalou o Itatiaia com uma das mãos amarradas às costas; Fred, que foi lançado num barril ao golfo do México e recolhido um ano depois na ilha da Pintada. Moma, irmão de sangue de um chefe comanche; Demócrito que dançava charleston sobre fios de alta tensão... 

    — A la mar! A la mar! – gritava Joel entoando cânticos ancestrais. Despertando pela manhã, alimentava-se de peixes exóticos; escrevia no diário de bordo e ficava a contemplar as ilhas. Os nativos viam-no passar – um ser taciturno, distante, nas águas, distante do céu. Certa vez – uma tempestade! Durou sete horas. Mas não o venceu, não o venceu! 

     E os monstros? Que dizer deles, se nunca ninguém os viu? 

     Joel remava afanosamente; às vezes, parava só para comer e escrever no diário de bordo. Um dia, disse em voz alta: "Mar, animal rumorejante!" Achou bonita esta frase; até anotou no diário. Depois, nunca mais falou. 

     À noite, Joel sonhava com barcos e mares, e ares e céus, e ventos e prantos, e rostos escuros, monstros soturnos. Que dizer destes monstros, se nunca ninguém os viu? 

     — Joel, vem almoçar! – gritava a mãe. Joel viajava ao largo; perto da África. 

(SCLIAR, Moacyr. Melhores contos. Seleção de Regina Zilbermann. São Paulo: Global, 2003. p. 105/106.)


In Text 7 we can see a repetition of the sentence “ninguém nunca os viu.” By translating it to English mark the sentence which is grammatically correct:
Alternativas
Ano: 2014 Banca: UniCEUB Órgão: UniCEUB Prova: UniCEUB - 2014 - UniCEUB - Vestibular - 2º Vestibular |
Q516030 Inglês
Circle the letter of the answer that correctly contains the following sentence into the negative form:

      The conference director welcomes proposals for round tables and panels that deal with the development of important genres, literary movements, themes, and issues.

                                                                                                                         American Literature Association
                                                                                                                          Symposium on American Poetry
Alternativas
Ano: 2014 Banca: UniCEUB Órgão: UniCEUB Prova: UniCEUB - 2014 - UniCEUB - Vestibular - 2º Vestibular |
Q516028 Inglês

When I ..................... a long time, very patiently, without ..................... him lie down, I resolved to open a little — a very, very little crevice in the lantern. So I opened it — you cannot imagine how stealthily,
stealthily — until, at length, a single dim ray, like the thread of the spider, shot from out the crevice and full upon the vulture eye.

                                                                                   Extracted from The Tell-Tale Heart by Edgar Allan Poe
Circle the letter of the verbs that correctly complete the sentences.
Alternativas
Ano: 2014 Banca: UniCEUB Órgão: UniCEUB Prova: UniCEUB - 2014 - UniCEUB - Vestibular - 1º Vestibular |
Q515707 Inglês
Choose the correct ending to form a complete sentence. Tomorrow, .....................
Alternativas
Respostas
101: D
102: C
103: B
104: D
105: B
106: A
107: B
108: A
109: D
110: C
111: B
112: B
113: D
114: A
115: B
116: C
117: C
118: B
119: D
120: C