영어 모의고사 (자동 편성)

As governments and companies work to address climate change, a new category of employment known as green jobs has ①expanded rapidly. Unlike many traditional industrial jobs, green jobs often require workers to combine technical training with an understanding of environmental science. Countries that have invested heavily in renewable energy have seen employment in this sector grow far ②faster than in the economy overall. Young workers, in particular, are drawn to green careers because they offer a sense of purpose alongside financial ③stability. Critics point out that transitioning workers from fossil fuel industries to green jobs can be surprisingly ④easy, since the required skills can differ significantly. Governments are therefore introducing training programs designed to help such workers shift ⑤smoothly into renewable energy careers.

Fast fashion refers to ①cheap, trendy clothing produced quickly and replaced almost as fast as it is bought. Because these garments are designed to be worn only a few times, huge amounts of fabric end up in landfills every year, and the dyeing process ②pollutes rivers near factories. In contrast, a ③growing number of brands are turning toward the circular economy, an economic model in which materials are reused, repaired, or recycled instead of being thrown away after a single use. For example, some companies ④collect old clothes, break down the fibers, and weave them into new fabric, while others let customers rent outfits for special occasions rather than buying garments they will barely wear. These approaches keep resources circulating within the system longer, ⑤increasing demand for raw materials. Therefore, shifting from a throwaway habit toward a circular one may be essential for making the fashion industry sustainable.

A striking proportion of individual investors believe their own stock-picking ability to be above average, a statistical ①impossibility given that only half of any population can genuinely outperform the rest, yet a pattern that persists with remarkable consistency across surveys. This tendency, known as overconfidence bias, leads investors to trade more ②frequently than a more cautious assessment of their own skill would justify. Extensive research comparing the trading records of numerous individual accounts has ③demonstrated that investors who trade most frequently tend to earn substantially ④higher returns than those who trade rarely, largely because transaction costs accumulate and because frequent trading often reflects overconfident reactions to short-term noise rather than genuine insight. Overconfidence also manifests in the tendency to underestimate the range of possible outcomes, causing investors to concentrate their holdings in a small number of assets they feel certain about rather than diversifying across a broader portfolio. Paradoxically, then, the very confidence that motivates investors to act decisively often ⑤undermines the outcomes they are trying to achieve.

When engineers design the software that controls a self-driving car, they inevitably face a question that philosophers have debated for ①decades. If a crash becomes unavoidable, should the vehicle protect its own passenger at all costs, or should it be programmed to ②minimize total harm, even if that means steering toward the person inside? Surveys reveal an uncomfortable ③contradiction: most people say a car should be programmed to save the greater number of lives, yet the same people admit they would never buy a vehicle designed to sacrifice its own owner. This gap between the ideal and the personal choice suggests that ethical programming cannot be settled by public opinion alone. Manufacturers, regulators, and philosophers must instead agree on ④transparent rules before autonomous vehicles are ⑤forbidden to make such decisions on the road.

For a class project, I interviewed a local architect who has worked in the field for over fifteen years. She explained that architects must balance creativity with practical concerns like safety and cost. When I asked about challenges, she mentioned that clients sometimes change their minds after a design is finished. Instead of feeling frustrated, she said she tries to ___________. She also advised students to visit construction sites whenever possible, since seeing a real building take shape teaches lessons no classroom can offer.

Every time a smartphone connects to a network, it records a data point that can later map where its owner has been. The real danger emerges when location data from multiple sources is combined. Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have repeatedly shown that _______________. As a result, privacy experts increasingly insist that location data deserves the same legal protection as medical records.

The rise of big data has introduced ethical dilemmas that earlier generations of workers never had to consider. (A) Some believe that strict government regulations are necessary, even if such rules slow down innovation and raise costs for businesses. (B) Others argue that companies can regulate themselves effectively through clear ethical training, without needing heavy-handed government intervention. (C) A single careless decision, after all, can expose the private information of millions of people almost instantly.

Volunteer work can sometimes reveal career interests students never expected to have. (A) This kind of quiet, patient care revealed a deep interest she never knew she had. (B) For example, a student volunteering at an animal shelter once spent an hour calming a frightened puppy. (C) She later began exploring careers in veterinary medicine because of that single experience.

Meanwhile, the underlying technology continues to advance regardless of whether the diplomacy meant to govern it keeps pace. Military researchers have developed weapons systems capable of identifying and engaging targets without a human pressing the final button, a prospect that has alarmed arms control experts for over a decade. ( ① ) Advocates within defense agencies argue that autonomous systems can react faster than any human operator and may even reduce casualties. ( ② ) Human rights organizations counter that removing a person from the final decision strips away moral responsibility at the exact moment it matters most. ( ③ ) Diplomatic negotiations toward an international treaty have repeatedly stalled, partly because military powers disagree on how to define autonomy precisely enough to regulate it. ( ④ ) This disagreement has left the treaty process without a clear path forward. ( ⑤ )

Because the donkey is assumed to be a perfectly rational creature that always chooses the option supported by the strongest reason, it finds itself, in this case, with no rational basis for choosing either pile. Medieval philosophers told the story of a hungry donkey placed exactly midway between two identical, equally fragrant piles of hay, with no factor whatsoever tipping the balance toward either option. ( ① ) Neither pile offers any advantage over the other. ( ② ) Paralyzed by this perfect symmetry, the donkey starves to death precisely because it can find no reason to move in either direction. ( ③ ) Critics of the story point out that real animals, and real humans, rarely face situations of such flawless symmetry. ( ④ ) Even a tiny, arbitrary preference, they note, is usually enough to break the tie in practice. ( ⑤ ) The paradox nevertheless raises a serious question about whether purely rational deliberation can ever generate action on its own.