Questões de Concurso
Sobre passado simples | simple past em inglês
Foram encontradas 293 questões
I. He took the photos. II. He had taken the photos by the time the owner arrived. III. He was taking the photos when the owner arrived. IV. He had been taking the photos before the owner arrived.
The verb tenses used in the sentence is:
Mark the alternative that best completes the blank.
“The Kardashiars __ waiting for you.”
Complete a sentença com o tempo verbal correto e assinale a alternativa correta:
The police _________ three people, but later they let go them.
Instructions: Question are based on the following text.
Source: http://languagemagazine.com/?page_id=124967
BRAZILIAN INDIANS
The history of Brazil's indigenous
peoples has been marked by brutality, slavery,
violence, diseases, and genocide.
When the first European colonists
arrived in 1500, what is now Brazil was
inhabited by an estimated 11 million Indians,
living in about 2,000 tribes. Within the rst
century of contact, 90% were wiped out, mainly
through diseases imported by the colonists,
such as fiu, measles and smallpox. In the
following centuries, thousands more died,
enslaved in the rubber and sugar cane
plantations.
By the 1950s the population has
dropped to such a low that the eminent senator
and anthropologist Darcy Ribeiro predicted
there would be none left by the year 1980. On
average, it is estimated that one tribe became
extinct every year over the last century.
In 1967, a federal prosecutor named
Jader Figueiredo published a 7,000 page report
cataloguing thousands of atrocities and crimes
committed against the Indians, ranging from
murder to land theft to enslavement.
In one notorious case known as 'The
th massacre of the 11 parallel', a rubber baron
ordered his men to hurl sticks of dynamite into
a Cinta Larga village. Those who survived were
murdered when rubber workers entered the
village on foot and attacked them with
machetes.
The report made int e rna tiona l headlines and led to the disbanding of the government's Indian Protection Service (SPI) which was replaced by FUNAI. This remains the government' s indigenous a ff a ir s department today.
The size of the indigenous population gradually started to grow once more, although when the Amazon was opened up for development by the military in the 1960s, 70s and 80s, a new wave of hydro-electric dams, cattle ranching, mines and roads meant tens of thousands of Indians lost their lands and lives. Dozens of tribes disappeared forever.
Twenty-two years of military dictatorship ended in 1985, and a new Constitution was drawn up. Indians and their supporters lobbied hard for more rights. Much has been achieved, although Indians do not yet enjoy the collective landownership rights they are entitled to under international law.
Texto III
Read an excerpt from the article, How Studying or Working Abroad Makes You Smarter.
A study (LEAD) by William Maddux, an associate professor of organizational behavior at INSEAD, (FIND) that among students enrolled in an international MBA program, their “multicultural engagement”—the extent to which they adapted to and learned about new cultures—predicted how “integratively complex” their thinking (BECOME).
That is, students who adopted an open and adaptive attitude toward foreign cultures (BE) more able to make connections among disparate ideas. The students’ multicultural engagement also predicted the number of job offers they (RECEIVE) after the program ended.
Available at:<http://time.com/79937/how-studying-or-working-abroad-makes-you-smarter/> . Accessed on 4/3/16.
The verbs in parentheses originally appeared in the simple past in the article. The correct of
the simple past of these verbs is:
Read the sentences below:
I. John study engineering at my university.
II. Helene is going to live in London last year.
III. Pedro wishes he can read more this month.
IV. When I grew up, I want to be a jazz singer.
Choose the best alternative to replace the words underlined in the sentences above:
TEXT II
The backlash against big data
[…]
Big data refers to the idea that society can do things with a large body of data that weren’t possible when working with smaller amounts. The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on. Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources. The backlash began in mid-March, prompted by an article in Science by David Lazer and others at Harvard and Northeastern University. It showed that a big-data poster-child—Google Flu Trends, a 2009 project which identified flu outbreaks from search queries alone—had overestimated the number of cases for four years running, compared with reported data from the Centres for Disease Control (CDC). This led to a wider attack on the idea of big data.
The criticisms fall into three areas that are not intrinsic to big data per se, but endemic to data analysis, and have some merit. First, there are biases inherent to data that must not be ignored. That is undeniably the case. Second, some proponents of big data have claimed that theory (ie, generalisable models about how the world works) is obsolete. In fact, subject-area knowledge remains necessary even when dealing with large data sets. Third, the risk of spurious correlations—associations that are statistically robust but happen only by chance—increases with more data. Although there are new statistical techniques to identify and banish spurious correlations, such as running many tests against subsets of the data, this will always be a problem.
There is some merit to the naysayers' case, in other words. But these criticisms do not mean that big-data analysis has no merit whatsoever. Even the Harvard researchers who decried big data "hubris" admitted in Science that melding Google Flu Trends analysis with CDC’s data improved the overall forecast—showing that big data can in fact be a useful tool. And research published in PLOS Computational Biology on April 17th shows it is possible to estimate the prevalence of the flu based on visits to Wikipedia articles related to the illness. Behind the big data backlash is the classic hype cycle, in which a technology’s early proponents make overly grandiose claims, people sling arrows when those promises fall flat, but the technology eventually transforms the world, though not necessarily in ways the pundits expected. It happened with the web, and television, radio, motion pictures and the telegraph before it. Now it is simply big data’s turn to face the grumblers.
(From http://www.economist.com/blogs/economist explains/201 4/04/economist-explains-10)
A man stepped onto the overnight train and told the conductor, “I need you to wake me up in Philadelphia. I'm a deep sleeper and can be angry when I get up, but no matter what, I want you to help me make that stop. Here's $100 to make sure".
The conductor agreed. The man fell asleep, and when he awoke he heard the announcement that the train was approaching New York, which meant they had passed Philadelphia a long time ago. Furious, he ran to the conductor. “I gave you $100 to make sure I got off in Philadelphia, you idiot!" “Wow," another passenger said to his traveling companion. “Is that guy mad!" “Yeah," his companion replied. “But not half as mad as that guy they forced off the train in Philadelphia."
(English2Go, No 7,The Reader's Digest Association, 2005. P. 80.)
Choose the item that does NOT belong in the group.
Conheça nossos planos