영어 모의고사 (자동 편성)

When Daniel was a child, he dreamed of becoming an astronaut, yet he assumed such careers ①belonged only to a handful of government scientists. By the time he entered university, however, the space industry had changed dramatically, as private companies began ②launching satellites and building reusable rockets. Daniel studied aerospace engineering, ③drawing to the idea that space exploration was no longer limited to a few national agencies. During an internship, he helped design a small satellite ④intended to monitor crop health from orbit. He realized that the space industry now needed not only pilots and engineers but also data analysts and technicians ⑤familiar with international space regulations.

Researchers who ①study teenagers have found a strong link between how well students sleep and how well they perform in school. Students who sleep fewer than seven hours a night tend to score lower on tests of memory and attention than those who ②sleep eight or nine hours, even when the two groups study for the same number of hours. One explanation is that sleep plays an active role in learning: during certain stages of sleep, the brain replays and strengthens information ③encountered during the day, converting fragile short-term memories into more durable long-term ones. When sleep is cut short, this consolidation process is interrupted before it can finish, so material that seemed well understood the night before often ④feel unfamiliar the next morning. For this reason, some schools have begun rethinking early start times, reasoning that an extra hour of sleep might do more for test scores than an extra hour of studying ever ⑤could.

Companies that ignore these concerns risk public backlash, especially when unethical practices are ①exposed through investigative journalism or social media. Real accountability, according to many experts, requires independent verification rather than self-reported claims that ②can be easily checked. Consumers, for their part, must also remain ③vigilant, since a company's marketing language does not always match its actual practices. When ethical claims are verified and accurate, however, they can build meaningful ④trust between a brand and its customers. Ultimately, corporate responsibility should be treated as an ⑤ongoing commitment rather than a marketing strategy.

Open a music streaming app on any given morning, and a personalized playlist is usually already waiting, assembled overnight from songs the algorithm predicts will match a listener's current mood. This prediction relies on far more than genre alone; the system studies skip rates, replay counts, and even the time of day a song is typically played to build a remarkably ①detailed profile of individual taste. Listeners often ②praise the feature for introducing them to artists they never would have searched for on their own, effectively acting as a tireless music scout working around the clock. Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. A song that the algorithm decides not to promote may ③thrive among listeners no matter how well it was written, meaning that an artist's success can depend as much on pleasing an algorithm as on pleasing an ④actual audience, a dependence some musicians find deeply ⑤unsettling.

Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. Behind this ①simple exchange lies a complex process: the device converts sound waves into text, interprets the meaning using language models, and then generates a spoken reply, all within a second or two. Because these assistants ②improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. Still, the technology remains far from ③perfect. Background noise, overlapping voices, or an unusual sentence structure can cause the assistant to misunderstand a simple request, sometimes with ④flawless results. Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest ⑤goals in the entire field of artificial intelligence.

When a customer opens a company's website at midnight with a billing question, an actual employee is unlikely to be available, which is exactly the gap that customer service chatbots were built to fill. These programs can instantly answer common questions, track packages, and process simple refunds without making anyone wait on hold. Yet the technology has clear boundaries. When a customer's problem is unusual, emotionally charged, or simply does not fit the chatbot's script, _______________. Many companies have responded by designing chatbots to recognize their own limits, automatically transferring a frustrated customer to a human agent.

Greenwashing has become a common strategy among companies eager to appear environmentally responsible. (A) For example, a company might use a green logo or the word "eco" without changing its actual production methods at all. (B) In contrast, genuine sustainability requires real changes, such as reducing waste or using renewable energy sources. (C) Often, this involves marketing language that suggests care for the planet while offering little real evidence.

주어진 문장: In short, Fogg's model reminds us that ease of action, not sheer willpower, drives lasting behavior change. Many people believe that building a new habit requires strong willpower or motivation. ( ① ) However, psychologist BJ Fogg argues that habits form more easily when a behavior itself becomes simple to perform. ( ② ) His theory, called the Fogg Behavior Model, states that a behavior happens only when motivation, ability, and a prompt occur together. When motivation is low, the task must be made extremely easy, or it will not happen at all. ( ③ ) For instance, a person who wants to exercise daily succeeds more often by committing to one push-up than to a long workout. Fogg calls this idea the law of least effort, since people naturally choose the option requiring the least energy. ( ④ ) A student who wants to read more might leave a book open on the desk rather than setting a vague goal. By lowering the required effort, people reduce the ability barrier and make steady action far more achievable. ( ⑤ )

A joke that depends on wordplay in one language, for example, may become confusing or even meaningless once it is translated literally into another. Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. ( ① ) Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word. ( ② ) This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably smooth. ( ③ ) Frequent travelers now point their phone cameras at street signs and receive an instant translation overlaid on the screen. ( ④ ) Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas where a single wrong word can completely change the intended meaning. ( ⑤ ) For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result.

The convenience comes at a cost that few passengers consider, however. A navigation app calculating a route rarely relies on distance alone; instead, it constantly weighs real-time traffic reports, past congestion patterns for that time of day, and even data from other drivers' phones currently on the road. ( ① ) This flood of information allows the app to reroute a driver away from a sudden accident within seconds, often before the driver has any idea the accident occurred at all. ( ② ) When thousands of drivers are simultaneously redirected onto the same shortcut, that quiet side street can quickly become as congested as the highway it was meant to help travelers avoid. ( ③ ) Residents of these once-quiet neighborhoods have increasingly complained about the sudden surge of unfamiliar traffic. ( ④ ) They argue that an algorithm optimizing for individual convenience can end up creating a new, entirely different problem for the wider community. ( ⑤ )