영어 모의고사 (자동 편성)

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. Today, many of these apps rely on neural networks ①that 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 smooth. Frequent travelers now point their phone cameras at street signs and ②receiving an instant translation overlaid on the screen. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas ③where a single wrong word can completely change the intended meaning. A joke that depends on wordplay in one language may become confusing once it ④is translated literally into another. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result that no human ⑤needs to review.

Generation Z, typically defined as those born between the late 1990s and early 2010s, approaches shopping quite differently from previous generations. ①Having grown up with smartphones and social media, they research products extensively online before making even small purchases. Unlike older generations, ②who often valued brand loyalty above all else, many members of Generation Z prioritize a company's values. They also tend to favor secondhand and resale platforms, ③viewing sustainability as an important factor rather than an afterthought. Peer recommendations ④shared through short videos frequently ⑤carries more weight than traditional celebrity endorsements, since viewers see these creators as relatable rather than distant figures.

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 ①conveniences 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 ②better 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 ③overlook. Every one of these small adjustments depends on constant data collection, meaning that a detailed record of daily habits is quietly being ④stored somewhere ⑤beyond their immediate control, giving residents full and constant access to exactly how it is used.

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.

VO2 max, defined as the maximum volume of oxygen a person's body can consume and use during intense exercise, is widely regarded as one of the best single indicators of cardiorespiratory fitness. Elite endurance athletes typically post VO2 max values far higher than those of untrained individuals. While genetics accounts for a substantial portion of an individual's potential VO2 max, consistent aerobic training can still raise the measurement considerably over months of dedicated effort. It is worth noting, however, that a high VO2 max does not guarantee success in competition, since _______________.

Anyone who has ridden a bicycle after a decade away from one has likely experienced muscle memory firsthand: the body seems to recall a complex skill almost instantly, even when conscious memory of the exact movements has faded. Contrary to what the name suggests, muscles themselves do not actually store memories; the phenomenon originates in the brain and nervous system, where repeated practice gradually shifts control of a well-learned movement from regions associated with conscious thought to areas that operate largely automatically. This shift explains why a skilled athlete can execute a complicated sequence of movements without consciously thinking through each individual step, freeing mental attention for strategy and decision-making instead. Interestingly, research also suggests that _______________.

After an especially demanding training session, the instinct to collapse onto a couch and remain motionless is understandable, yet exercise physiologists increasingly recommend the opposite approach. (A) This gentle activity keeps blood circulating through tired muscles, which appears to help clear metabolic byproducts more efficiently than complete stillness does. (B) Some athletes worry that any movement at all will interfere with the repair process, but research suggests that truly light activity does not meaningfully slow healing. (C) Active recovery involves performing low-intensity movement, such as a light jog, an easy swim, or a gentle bike ride, on days following intense exertion rather than resting completely.

Exercise does far more than strengthen muscles and the heart; it also produces measurable changes within the brain itself. (A) Interestingly, aerobic activities such as running or swimming appear to produce more pronounced cognitive benefits than purely strength-based training, though the precise biological reasons for this difference remain an active area of investigation. (B) Studies comparing physically active students to sedentary peers have repeatedly found that the active group performs better on tests of attention and problem-solving, even when the exercise session ends well before the test begins. (C) During sustained physical activity, the body releases a protein called brain-derived neurotrophic factor, which supports the growth of new neurons and strengthens connections between existing ones.

Some researchers worry that casual users may misinterpret a single unusual reading as a serious problem, leading to needless anxiety rather than useful insight. Modern sports wearables, from wrist-worn fitness trackers to smart insoles embedded in running shoes, continuously collect data that would once have required a laboratory to measure. ( ① ) Heart rate, sleep quality, running cadence, and even subtle changes in gait can now be monitored during ordinary daily activity rather than only in a controlled clinical setting. ( ② ) Coaches use this constant stream of information to detect early warning signs of overtraining, sometimes noticing a decline in performance before the athlete consciously feels tired. ( ③ ) However, the flood of data has created a new challenge: distinguishing a meaningful pattern from ordinary daily fluctuation requires expertise that many amateur athletes simply do not have. ( ④ ) For this reason, most experts recommend treating wearable data as a general trend to observe over time, not as a precise diagnostic tool. ( ⑤ )

주어진 문장: The sudden attention was overwhelming, but it also opened doors she had never imagined. Soojin started posting short cooking videos on her phone during her last year of high school, never imagining it could become a career. ( ① ) At first, only a handful of friends watched her clips, and she nearly quit after several months without noticeable growth. ( ② ) She kept experimenting, however, adjusting her editing style and posting more consistently despite the discouraging numbers. Everything changed when one video demonstrating a simple recipe unexpectedly reached millions of viewers overnight. ( ③ ) Brands began contacting her, offering payment in exchange for featuring their products in future videos. ( ④ ) Within a year, Soojin was earning more from her online content than most entry-level jobs would have paid her. ( ⑤ ) Still, she quickly learned that being a creator demanded constant work, since algorithms rewarded frequent uploads and audiences expected fresh content daily.