Questões de Vestibular de Inglês - Adjetivos | Adjectives
Foram encontradas 101 questões
Ano: 2017
Banca:
UDESC
Órgão:
UDESC
Prova:
UDESC - 2017 - UDESC - Vestibular - Primeiro Semestre (Manhã) |
Q1264135
Inglês
Mark the right alternative according to the use of the words in the text.
Q1263923
Inglês
Texto associado
Considere o texto para responder a
questão.
FOOTBALL'S RED CARD
THE WORLD'S MOST VALUABLE SPORTS TEAM
IS drowning in debt. English football powerhouse
Manchester United (Forbes estimates its worth at
$1.8 billion) had to raise some $800 million in a
bond issue last month, which is still $340 million shy
of its total debts. Man U needed the bond to pay off
the millions that American businessman
Malcolm Glazer borrowed to purchase the team in
2005. But in the first three weeks since the bond
was issued it lost nearly 10 percent of its value, a
sign that, even though Man U's revenues reached a
record $444 million last year, the market is growing
wary of debt, particularly the European variety
Man U isn't alone. Debt levels have also skyrocketed
among rivals like liverpool, calling into question the
business model of English Premier League football.
Each year the three worst teams are banished to
a lower league, where vital broadcasting revenues
are dramatically reduced. This puts huge pressure
on clubs to compete for the best players, who now
regularly fetch more than $50 million a year. Unlike
in the U.S., there's no system of collective bargaining to restrain wages. As a result, the total salary
bill for the Premier League has risen more than 20
percent since 2008. This has created a vicious cycle
of rising debt among clubs that must spend extravagantly on players to ensure increased revenue. Any
team attempting to be frugal becomes more likely
to end up with lower revenue. It's become a game
of who can spend the most, and it probably won't
end well.
(BY WILLIAM UNDERHILL - Newsweek)
Assinale a alternativa em que há um exemplo de grau de comparação
Ano: 2013
Banca:
UECE-CEV
Órgão:
UECE
Prova:
UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261834
Inglês
Texto associado
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 “…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 “This is a
generation of kids that grew up with data science
around them.”, one finds adjective clauses that are
respectively
Ano: 2013
Banca:
UECE-CEV
Órgão:
UECE
Prova:
UECE-CEV - 2013 - UECE - Vestibular - Inglês - 1º Dia |
Q1261830
Inglês
Texto associado
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 functions of the words purchasing,
dealing, filings, programming and recommending
in the text are respectively
Q970791
Inglês
Texto associado
IN THE MIDDLE OF THE 19th century, a relatively unknown author named Pedro Carolino rapidly gained intercontinental popularity over a small Portuguese-to-English phrasebook. English as She Is Spoke (or O novo guia da conversação em portuguez e inglez) was originally intended to help Portuguese speakers dabble in the English tongue, but was penned by a man who spoke little to no English himself. And, instead of helping Portuguese speakers learn a second language, it became a cult classic for fans of inept and unintentional humor.
It quickly gained notoriety among English speakers, including author Mark Twain, who wrote the introduction for the first English edition, published in 1883. Twain expressed his approval of the book, saying “Nobody can add to the absurdity of this book, nobody can imitate it successfully, nobody can hope to produce its fellow; it is perfect.”
It is presumed that Carolino wrote the book through the aid of a Portuguese-to-French dictionary and a French-to-English dictionary, using the former for an initial translation of a word or phrase from Portuguese, and the latter to convert it from French into English. The result, of course, is a mishmash of cloudy gibberish.
Perhaps the most notorious section of the book is an appropriately named chapter entitled “Idiotisms and Proverbs,” which again features phrases that vary between barely understandable and completely nonsensical. Examples of Carolino’s twice-translated proverbs include: “it is better be single as a bad company”; “there is no better sauce who the appetite”; and simply “That not says a word, consent”.
The book opens with a preface written in a peculiar style of English. It details the book’s intended audience, stating that it “may be worth the acceptation of the studious persons, and especially of the Youth, of which we dedicate him particularly.” Perhaps predictably, English as She Is Spoke did not become popular among Portuguese-speaking students. In fact, it was never published in Portugal, although it did find an audience 133 years later in Brazil, when it was released as a comedy title.
Adaptado de LEIGHTY-PHILLIPS, Tucker. How a Portuguese-to-English Phrasebook became a cult comedy sensation. In: Atlas Obscura
(online). 29 jun. 2016. Disponível em www.atlasobscura.com
Assinale a alternativa que apresenta, corretamente, a opinião do autor em relação ao livro de Pedro Carolino.
Conheça nossos planos