영어 모의고사 (자동 편성)

Skipping a proper warm-up before intense exercise might seem like a harmless way to save a few minutes, but the practice ①carries real physiological costs. A cold muscle is stiffer and less elastic than a warm one, making it considerably more prone to strains and tears when suddenly ②asked to contract forcefully. Gradually raising body temperature through light activity increases blood flow to the muscles, ③allowing oxygen to reach tissue more efficiently and enabling nerve signals to travel faster between the brain and the muscle fibers. A proper warm-up also raises heart rate gradually, ④easing the cardiovascular system into strenuous work rather than shocking it with a sudden demand. Athletes who warm up thoroughly tend to report better performance in the early minutes of competition, since their bodies are already primed rather than ⑤adjust on the fly.

Influencer marketing has become one of the most powerful tools that companies use to reach young consumers. Unlike traditional advertisements, which often ①feel distant and impersonal, posts ②creating by influencers seem more like advice from a trusted friend. This sense of closeness, built through years of sharing daily life online, ③makes followers more willing to trust product recommendations than ordinary commercials. However, this trust can be exploited when influencers promote products they have never actually ④tried. As a result, several countries now require influencers ⑤to clearly disclose paid partnerships before posting sponsored content.

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

Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan that adjusts itself to each individual student in real time. As a student answers practice questions, the app ①tracks which concepts are mastered and which remain shaky, then quietly reshuffles the next set of problems to target the weaker areas. Early studies suggest that this ②personalized pacing can help struggling students catch up faster than a one-size-fits-all worksheet ever could. However, critics ③caution that an app cannot replace the encouragement, humor, and flexibility a human teacher brings to a lesson, especially when a student is frustrated rather than simply behind. There is also a subtler concern: students who grow used to ④instant, algorithm-generated feedback may struggle later with the slower, more ambiguous kind of feedback that real-world tasks and mentors typically provide, which could ⑤strengthen their ability to handle uncertainty outside the app.

Long before a user finishes typing a sentence, the keyboard on most smartphones has already begun guessing what word comes next. This feature relies on a language model trained to notice which words commonly follow one another, so it can offer a shortlist of likely candidates above the keyboard, ①saving users countless keystrokes over the course of a day. The system also adapts to each individual, gradually learning a person's favorite phrases, slang, and even the names of friends that no generic dictionary would ②recognize. This constant personalization, however, creates a subtle side effect that few users notice. Because the keyboard ③nudges people toward its own suggestions, some linguists worry that autocomplete may be quietly ④widening everyday vocabulary, encouraging writers to accept a convenient suggestion rather than searching for the more precise or original word they might otherwise have ⑤chosen.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Supporters argue that remote work ①decreases productivity, since employees avoid long commutes and distracting office environments. It also allows companies to hire talented people regardless of where they live, ②widening the pool of candidates. Critics, however, worry that remote work ③weakens teamwork and makes it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel ④isolated and struggle to build strong professional relationships. For these reasons, many experts suggest that the future of work will likely be hybrid, ⑤combining flexibility with occasional in-person collaboration.

Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. Because these assistants improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. Still, _______________. Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest goals in the entire field of artificial intelligence.

A smart thermostat that learns a family's daily rhythm can lower the temperature automatically before everyone wakes up cold, while smart lights that follow a resident's schedule no longer need to be switched on and off by hand. Sensors collect data about temperature, motion, and light throughout the home, and an algorithm gradually learns which settings match each household's actual habits. Yet convenience comes with a trade-off that many households overlook: _______________.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. (A) The system is not without drawbacks, however, since favoring titles similar to what a viewer already enjoys can quietly narrow someone's exposure to unfamiliar genres, directors, or cultures. (B) Instead, a recommendation algorithm compares that viewer's habits with patterns drawn from millions of other users, then ranks thousands of titles in order of predicted interest. (C) This approach keeps viewers engaged far longer than a simple list of new releases ever could, which is precisely why streaming companies invest so heavily in refining it.

주어진 문장: Because the videos looked completely unscripted, audiences trusted them in a way that polished commercials rarely achieve. When a beverage company launched a new flavor last summer, the marketing team faced a tight budget and needed a creative solution. ( ① ) Instead of relying on expensive television commercials, they designed a simple dance challenge and invited a handful of everyday users to post videos using the product. ( ② ) Within days, thousands of people began recreating the dance and tagging the brand, turning an ordinary product launch into a viral trend. ( ③ ) Because participants created the content themselves, viewers found the videos far more entertaining than a traditional advertisement would have been. ( ④ ) The company barely spent any money on production, yet the challenge reached millions of viewers across multiple platforms. ( ⑤ ) Encouraged by this success, other brands quickly attempted similar challenges, though many failed to generate the same excitement.