Questõessobre Passado perfeito progressivo | Past perfect continuous

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Foram encontradas 4 questões
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Unimontes - MG 2019 - Inglês - Tempos Verbais | Verb Tenses, Passado perfeito | Past perfect, Passado simples | Simple past, Passado perfeito progressivo | Past perfect continuous, Passado progressivo | Past continuous

A única alternativa cuja forma verbal NÃO expressa um fato ocorrido no passado é:

THE STORY OF ELLIS ISLAND

Mass migrations have marked the history of the human race ever since people began to dream of a better life 

Disponível em: <https://linguapress.com/advanced/ellis-island.htm>. Acesso em: 7 out. 2019. Adaptado.

A
“[...] the small island in New York Harbor was, for millions of would-be immigrants, their first experience of the promised land.” (Linhas 4-5)
B
“And so it was that the man who finally led his family through the door and onto the ferry packed with a jostling crowd of new Americans was not Franz Schumacher any more [...]” (Linhas 19-20)  
C
“[...] even if he still didn't understand more than a couple of words of English.” (Linha 21) 
D
“[...] as Donald Trump tries to set up new physical and administrative barriers against people wanting to enter the USA [...]” (Linhas 1-2)  
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UEFS 2011 - Inglês - Tempos Verbais | Verb Tenses, Passado perfeito | Past perfect, Prefixos e sufixos | Prefixes and suffixes, Aspectos linguísticos | Linguistic aspects, Vocabulário | Vocabulary, Voz Ativa e Passiva | Passive and Active Voice, Passado simples | Simple past, Interpretação de texto | Reading comprehension, Passado perfeito progressivo | Past perfect continuous, Passado progressivo | Past continuous

Considering language use in the text, it’s correct to say:


A
The verb form “heard” (l. 2) is in the Past Participle).
B
The expression “right away” (l. 15) is the same as immediately.
C
The word “daily” (l. 16) is functioning as an adverb.
D
The word “neighborhood” (l. 20) is formed by adding a prefix.
E
The verb form “had not been” (l. 28) is in the passive voice.
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UECE 2010 - Inglês - Tempos Verbais | Verb Tenses, Passado perfeito progressivo | Past perfect continuous, Passado progressivo | Past continuous

In terms of verb tenses, the clauses in the sentence: ”The realist novelists were in many ways continuing in a more intensive and conscientious fashion what Balzac had been doing years before in ‘La Comédie Humaine’.” are respectively in the


CUDDON, J. A. The Penguin Dictionary of Literary Terms and Literary Theory. New York: Penguin Books, 1998.  

A
Simple past and past perfect.
B
Past continuous and past perfect continuous.
C
Past perfect continuous and past continuous.
D
Past continuous and present perfect.
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UECE 2013 - Inglês - Tempos Verbais | Verb Tenses, Passado perfeito | Past perfect, Presente perfeito | Present perfect, Presente simples | Simple present , Passado simples | Simple past, Passado perfeito progressivo | Past perfect continuous

In terms of verb tense, the sentences “Rachel Schutt, a senior research scientist at Johnson Research Labs, taught ‘Introduction to Data Science’ last semester at Columbia.”, “In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data.” and “Most master’s degree programs in data science require basic programming skills.” are, respectively, in the

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
A
simple past, past perfect and present perfect.
B
past perfect continuous, simple present and present perfect.
C
simple past, present perfect and simple present.
D
past perfect, simple present and simple past