영어 모의고사 (자동 편성)

Millions of people now wear devices that continuously track their heart rate, sleep patterns, and daily activity, ① generating an intimate stream of health data that would have been unthinkable to collect just two decades ago. Users generally assume this information belongs to them, since it ② is drawn directly from their own bodies. In practice, however, the terms of service that few people read often ③ grants the manufacturer broad rights to store, analyze, and even sell anonymized versions of that data to insurers or advertisers. This arrangement becomes especially troubling when health data influences decisions far beyond fitness, such as insurance premiums or employment screening. Advocates for reform argue that biological data deserves a category of protection ④ stronger than ordinary consumer information, precisely because it can never truly ⑤ be replaced or reset once it has been exposed.

Consider a student who genuinely intends to study for tomorrow's exam yet, when the evening actually arrives, chooses to ① watch another episode of a favorite show instead, ② promising herself she will surely study harder next week. This pattern, in which the pull of an immediate pleasure overwhelms the value of a distant benefit, ③ appear again and again across ordinary life, from postponed exercise to delayed savings. People do not necessarily fail to understand that the future reward matters more; rather, whatever happens right now simply feels disproportionately more urgent and vivid than anything scheduled for later. Behavioral economists note that this preference weakens considerably once both options are ④ pushed into the future, which is why planning a diet starting next month feels effortless compared with skipping dessert tonight. Such inconsistency helps explain why gym memberships go ⑤ unused and retirement accounts remain underfunded, despite people's stated intentions.

Many students ①take a career aptitude test at some point in high school. This test, ②which is designed to measure a person's interests and strengths, does not simply tell students which job to choose. Instead, it helps them understand themselves better. For example, a student ③who enjoy solving problems might discover a hidden interest in engineering. However, the results should ④be used only as a guide, not as a final answer. Therefore, students should treat the test as a useful starting point for ⑤exploring various career paths, rather than a fixed decision.

Two years ago, I ①began volunteering at an animal shelter near my neighborhood on weekends. My tasks included feeding animals, cleaning cages, and ②help visitors choose a pet to adopt. Over time, I noticed how much I enjoyed calming nervous or injured animals. One rainy afternoon, a frightened puppy ③refused to eat, and I sat quietly beside it for over an hour until it finally relaxed. Watching the puppy trust me changed something inside me, ④which led me to research careers in veterinary medicine. My volunteer work, ⑤which started as a simple hobby, slowly turned into the clearest career direction I had ever found.

Blockchain technology was originally promoted as a way ① to remove the need for trusted middlemen, allowing strangers to exchange value directly and verify transactions through a shared, tamper-resistant ledger rather than through a bank or government agency. In theory, this design ② distributes power away from any single institution and toward the network as a whole. In practice, however, a small number of large players have come to dominate many blockchain networks, ③ controlled enough computing power or currency to influence outcomes that were supposed to be decided collectively. Critics note a further irony: when something goes wrong, there is often no institution left ④ to appeal to, since the entire system was designed precisely to eliminate that kind of central authority. Whether decentralization can survive this concentration of power ⑤ remains one of the technology's most unresolved questions.

Social media platforms rarely show users a neutral stream of information. Instead, recommendation algorithms ① are optimized to maximize engagement, and content that provokes strong emotion, particularly outrage, tends to hold attention longer than balanced reporting ever could. Over time, users ② exposed to a steady diet of emotionally charged content may come to believe that extreme opinions are far more common than they actually are, simply because those opinions ③ dominate their feed. Researchers describe this as a distorted mirror: the platform reflects not society as it truly is, but a version ④ shaping by whatever keeps people scrolling. Some platforms have experimented with reducing the visibility of outrage-driven content, only ⑤ to see user engagement drop.

As technology continues to reshape the job market, educators and employers increasingly agree on which skills will matter most in the coming decades. Technical literacy, including basic coding and data analysis, has become nearly as ①fundamental as reading and writing once were. Beyond technical knowledge, however, employers consistently rank problem-solving and adaptability among the most ②valuable qualities in job candidates. Workers who can quickly learn new tools and adjust to unfamiliar situations tend to remain ③employable even as entire industries transform. Schools have begun redesigning curricula to emphasize these competencies, moving away from memorization toward project-based learning that mirrors real workplace ④comfort. Most experts insist that a balanced combination of technical skill, adaptability, and communication will define successful careers ⑤ahead.

Similar changes are taking place in other fields as well. As technology develops rapidly, many new jobs are appearing that did not exist a decade ago. ( ① ) Data analysts, for example, help companies make decisions based on huge amounts of information. ( ② ) Renewable energy technicians install and repair solar panels and wind turbines, meeting the growing demand for clean power. ( ③ ) These emerging jobs share one common feature: they combine technical skill with the ability to solve real-world problems. ( ④ ) Experts predict that future workers will need to keep learning new skills throughout their careers, since technology continues to change so quickly. ( ⑤ ) For students planning their future, staying curious and adaptable may matter more than a single fixed career path.

If such a divide hardens, competitive advantages in school, sports, and the workplace could come to depend less on effort than on access to capital. Beyond restoring lost function, engineers are now exploring implants and prosthetics designed to give healthy people abilities beyond ordinary human limits. ( ① ) Supporters frame this as simply the next step in a long history of human enhancement, no different in principle from eyeglasses or vaccines. ( ② ) Critics counter that earlier enhancements were broadly available to anyone regardless of wealth. ( ③ ) Cutting-edge neural and physical implants, by contrast, are likely to remain expensive for decades, potentially splitting society into those who can afford enhancement and those who cannot. ( ④ ) What began as a medical tool for restoring what was lost, in other words, may end up redefining the baseline of what counts as an ordinary human being. ( ⑤ )

주어진 문장: This growing academic attention reflects how seriously the issue is now being taken. As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions have emerged about how that information should be handled. ( ① ) Employees who work with big data now face responsibilities that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. ( ② ) Some argue that strict regulations should govern data collection, even if such rules slow innovation and increase costs for businesses. ( ③ ) Others insist that self-regulation within companies, guided by clear ethical training, can protect consumers just as effectively without stifling progress. ( ④ ) Most experts agree that professionals handling sensitive data must be trained not only in technical skills but also in ethical decision-making. ( ⑤ ) Universities have begun adding data ethics courses to computer science programs, recognizing that future employees will need to balance innovation with responsibility.