영어 모의고사 (자동 편성)

Building brand loyalty has traditionally been considered one of the most valuable goals in marketing, since loyal customers ①tend to spend more and recommend products to others. Companies invest significant resources in loyalty programs, ②offering points, discounts, and exclusive access to encourage repeat purchases. Genuine loyalty, critics contend, should be earned through consistent quality and honest treatment of customers, not through artificial incentives that merely ③delays a customer's departure. Furthermore, excessive focus on retaining existing customers can cause companies ④to neglect innovation, since they assume loyal buyers will continue purchasing regardless of improvements. Relying solely on loyalty programs without addressing underlying product quality may ultimately ⑤backfire.

Self-driving technology is advancing rapidly, and its impact on the transportation industry ①is becoming increasingly visible. Companies are testing autonomous trucks ②that can travel long distances without human drivers, potentially transforming how goods move across countries. Millions of professional drivers worry about ③lose their jobs as automation spreads through the industry. Experts predict that certain driving jobs, particularly long-distance trucking, may ④shrink significantly within the next two decades. New roles are also emerging, including remote vehicle operators who monitor fleets of autonomous trucks and technicians ⑤who maintain the complex sensors these vehicles depend on.

Every day, email providers quietly block billions of ① unwanted messages before they ever reach a user's inbox, a task that would be impossible without an AI filtering system running constantly in the background. The filter ② examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on to slip past detection. What makes the system effective is that it ③ stops learning after launch, since whenever a user marks a message as spam or rescues a message mistakenly filtered out, that action becomes new training data, sharpening the filter's future decisions. This creates a constant back-and-forth, since spammers study which messages get blocked and then ④ adjust their wording to slip through again. As a result, spam filtering is less like a fixed wall and more like an ⑤ ongoing contest, with each side continuously adapting to outsmart the other.

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. Listeners often praise the feature for introducing them to artists they never would have searched for on their own. Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. A song that the algorithm decides not to promote may struggle to reach listeners no matter how well it was written, meaning that _______________.

Not all parts of a city experience the same temperature, even when they are located close to one another. (A) Tall buildings packed closely together also block wind, trapping warm air within narrow streets. In contrast, areas with abundant trees and open water naturally stay cooler, since plants release moisture that helps lower surrounding temperatures. (B) To reduce this effect, many cities have begun installing rooftop gardens and expanding public parks, hoping that additional greenery will absorb less heat than pavement does. (C) On a summer evening, downtown streets often feel noticeably hotter than nearby parks or suburban neighborhoods, even after the sun has set. This phenomenon, known as the urban heat island effect, occurs when cities retain more heat than surrounding rural areas because of their dense concentration of asphalt, concrete, and buildings. Unlike soil or vegetation, which absorb and release heat gradually, these man-made surfaces absorb sunlight during the day and slowly radiate it back at night, preventing temperatures from cooling.

Sleep debt refers to the cumulative gap between the amount of sleep a person needs and the amount they actually get. (A) Unlike a financial debt, however, this deficit cannot simply be repaid with a single long weekend of rest. (B) When someone loses two hours of sleep every night for a week, the body does not treat the shortage as fourteen separate small losses; instead, it accumulates the deficit, and the resulting impairment in attention and mood can resemble that of a person who has been awake for an entire night. (C) Researchers have found that even modest, chronic sleep restriction gradually impairs reaction time and decision-making, often without the affected person noticing the decline. This is because subjective feelings of tiredness tend to plateau after a few days, even as objective performance keeps deteriorating. Consequently, people frequently underestimate how much sleep debt they are carrying until a demanding task suddenly exposes the accumulated cost.

주어진 문장: At first glance, this seems to suggest that Dunbar's theory no longer applies in the digital age. Anthropologist Robin Dunbar proposed a concept now known as Dunbar's number, suggesting that human beings can only maintain about one hundred fifty stable social relationships at any given time. ( ① ) This limit, he argued, comes from the size of the human brain, which restricts how many meaningful connections a person can cognitively manage. ( ② ) In contrast, many social media users today have hundreds or even thousands of online friends and followers, a number far exceeding what Dunbar's research predicts. ( ③ ) However, having numerous digital contacts does not necessarily mean that all of these relationships are close or emotionally supportive. ( ④ ) Most users, when asked, admit that they interact regularly with only a small fraction of their total followers, while the rest remain largely unnoticed. ( ⑤ ) Therefore, Dunbar's number reminds us that genuine, lasting relationships require consistent effort and attention, something that a large online network alone cannot provide.

주어진 문장: In fields ranging from medicine to law, these tools now perform tasks that once required years of human training. As artificial intelligence grows more capable of performing tasks once considered exclusively human, many people wonder which skills will remain valuable in the future. ( ① ) AI can now analyze data, generate text, and even diagnose certain medical conditions with impressive accuracy. ( ② ) However, most researchers argue that AI still struggles with tasks requiring genuine empathy, ethical judgment, and creative problem-solving in unfamiliar situations. ( ③ ) A machine can recommend a treatment plan based on statistics, for instance, but it cannot comfort a frightened patient the way a compassionate nurse can. ( ④ ) Similarly, AI can generate countless design variations, yet it lacks the lived experience that allows humans to judge which idea truly resonates with people. ( ⑤ ) For this reason, educators increasingly emphasize skills such as collaboration, critical thinking, and emotional intelligence.

Because the airway narrows gradually rather than closing all at once, the severity of each episode can vary widely. Sleep apnea is a disorder in which breathing repeatedly stops and restarts during sleep, often because the muscles at the back of the throat relax too much and block the airway. ( ① ) Each pause can last from a few seconds to over a minute, and it may occur dozens of times in a single night without the sleeper ever waking up fully. ( ② ) Because these interruptions rarely produce a clear memory the next morning, many people remain unaware that anything is wrong, even as chronic fatigue, headaches, and irritability build up over months. ( ③ ) Doctors therefore rely less on a patient's own account of the night and more on objective measurements, such as overnight oxygen levels and airflow patterns recorded in a sleep laboratory. ( ④ ) Left untreated, the disorder has been linked to serious long-term risks, including high blood pressure and heart disease, which makes an accurate diagnosis far more urgent than its subtle nighttime symptoms might suggest. ( ⑤ )

This constant, individualized adjustment is what makes the technology feel so different from a standard workbook. Adaptive learning apps promise something no traditional classroom can easily offer: a lesson plan that adjusts itself to each individual student in real time. ( ① ) 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. ( ② ) Early studies suggest that this personalized pacing can help struggling students catch up faster than a one-size-fits-all worksheet ever could. ( ③ ) However, critics caution 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. ( ④ ) There is also a subtler concern: students who grow used to instant, algorithm-generated feedback may struggle later with the slower, more ambiguous kind of feedback that real-world tasks and mentors typically provide. ( ⑤ )