영어 모의고사 (자동 편성)

When a beverage company launched a new flavor last summer, the marketing team faced a tight budget and needed a creative solution. Instead of relying on expensive television commercials, they designed a simple dance challenge and invited a handful of everyday users ①to post videos using the product. Within days, thousands of people began recreating the dance and tagging the brand, turning an ordinary product launch into a viral trend. Because participants created the content themselves, viewers found the videos far more entertaining than a traditional advertisement would have been. The company barely spent any money on production, yet the challenge ②reach millions of viewers across multiple platforms. Researchers later explained that the original challenge ③succeeded because it ④felt spontaneous and fun rather than obviously commercial. This case demonstrates that authenticity, not advertising budget, often ⑤determines whether a campaign truly resonates with audiences.

Smart speakers have quietly become a fixture in many households, ① responding to spoken requests for weather updates, music, or kitchen timers. Behind this simple 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 improve by ② 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 perfect. Background noise, overlapping voices, or an unusual sentence structure can cause the assistant ③ misunderstanding a simple request, sometimes with amusing results. Engineers continue to refine these systems, but many admit that truly natural conversation, the kind ④ that flows without repeated commands or awkward pauses, ⑤ remains one of the hardest goals in the entire field of artificial intelligence.

A smartwatch strapped to a runner's wrist can now do far more than simply count steps; it monitors heart rate variability, running form, and recovery time, then uses that data to suggest a training plan ① tailored to the individual rather than a generic weekly schedule. When the device detects signs of overtraining, such as an unusually high resting heart rate several mornings in a row, it may recommend a ② lighter workout or an extra rest day before fatigue turns into an actual injury. Amateur athletes often credit this kind of guidance with helping them train more ③ consistently without pushing their bodies too hard. Sports scientists note an important caveat, however: a wrist-based sensor cannot fully capture the same physiological detail available in a professional lab, so its suggestions should be treated as an ④ infallible medical judgment rather than a helpful guideline, particularly for anyone ⑤ managing a chronic health condition.

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. These small ① conveniences rest on a shared foundation: sensors collect data about temperature, motion, and light throughout the home, and an algorithm gradually learns which settings match each household's actual habits rather than a factory default. Over months of use, the system becomes noticeably ② better at anticipating needs, often adjusting settings moments before a resident would have reached for a switch. Yet convenience comes with a trade-off that many households ③ overlook. Every one of these small adjustments depends on constant data collection, meaning that a detailed record of daily habits is quietly being ④ stored somewhere ⑤ beyond their immediate control, giving residents full and constant access to exactly how it is used.

Jina used to fill her apartment with items she rarely used, believing that owning more things would make her happier. After moving twice within a single year, she grew exhausted from packing boxes filled with clothes she had never worn and gadgets she had forgotten she owned. Frustrated, she decided to try a minimalist lifestyle, keeping only objects that served a clear purpose or brought her genuine joy. Gradually, however, she noticed that her small apartment felt calmer and easier to manage. She also realized that she spent significantly less money once she stopped buying things impulsively to fill emotional gaps. Inspired by her experience, several of her friends began adopting similar habits, questioning purchases they once made without thinking. Jina's story reflects ___________.

A navigation app calculating a route rarely relies on distance alone; instead, it constantly weighs real-time traffic reports, past congestion patterns, and even data from other drivers' phones currently on the road. This flood of information allows the app to reroute a driver away from a sudden accident within seconds. The convenience comes at a cost that few passengers consider, however. When thousands of drivers are simultaneously redirected onto the same shortcut, _______________, arguing that an algorithm optimizing for individual convenience can end up creating a new, entirely different problem for the wider community.

For most of last year, Junho refreshed his social media feed constantly, terrified of missing a party, a trending meme, or gossip among his friends. This restless anxiety, often called FOMO, or the fear of missing out, left him exhausted and strangely unsatisfied even after hours of scrolling. One weekend, his phone battery died during a hiking trip, and, to his surprise, he actually enjoyed the quiet afternoon without notifications interrupting his thoughts. Curious about this unexpected calm, Junho began deleting social apps for a few hours each day, gradually extending the breaks as weeks passed. Instead of dreading what he might be missing, he started noticing small pleasures, such as finishing a book or having an uninterrupted conversation with his family. This shift in attitude reflects ___________.

Scientists have identified certain gene variants that appear more frequently among elite endurance athletes than among the general population, along with a separate set that seems to favor explosive, power-based sports such as sprinting. (A) However, researchers caution strongly against interpreting these findings as evidence that athletic greatness is simply inherited. (B) One frequently studied variant, for instance, influences the proportion of slow-twitch versus fast-twitch muscle fibers a person naturally develops, a ratio that shapes whether a body leans toward endurance or explosive power. (C) Genetics may set a rough ceiling on an individual's ultimate potential, but where any particular athlete lands within that range depends overwhelmingly on training quality, nutrition, coaching, and sheer determination.

Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan that adjusts itself to each individual student in real time. (A) As a student answers practice questions, the app tracks which concepts are mastered and which remain shaky, then quietly reshuffles the next set of problems to target the weaker areas. (B) Early studies suggest that this personalized pacing can help struggling students catch up faster than a one-size-fits-all worksheet ever could. (C) However, critics caution that an app cannot replace the encouragement, humor, and flexibility a human teacher brings to a lesson.

Loyalty programs have become a standard feature of modern retail strategy. (A) Critics counter that such programs often reward habit rather than genuine satisfaction with a product. (B) Supporters claim that points and rewards encourage customers to return again and again. (C) True loyalty, they argue, should be built through consistent quality rather than artificial incentives.