영어 모의고사 (자동 편성)

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions ①have emerged about how that information should be handled. Employees who work with big data now face responsibilities ②that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. Some argue that strict regulations should govern data collection, even if such rules ③slow innovation and increase costs for businesses. Others insist that self-regulation within companies, guided by clear ethical training, can ④protects consumers just as effectively without stifling progress. Universities have begun adding data ethics courses to computer science programs, ⑤recognizing that future employees will need to balance innovation with responsibility.

After a viewer finishes an episode, a streaming service rarely ①leave the choice of what to watch next entirely up to chance. Instead, a recommendation algorithm compares that viewer's habits with patterns ②drawn from millions of other users who watched similar content, then ranks thousands of titles in order of predicted interest. 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 ③refining it. The system is not without drawbacks, however. Because the algorithm favors titles similar to what a viewer already enjoys, it can quietly narrow someone's exposure to unfamiliar genres, directors, or cultures, ④creating a comfortable but repetitive bubble. Some platforms have begun inserting occasional wildcard suggestions, deliberately unrelated to past viewing habits, in an attempt ⑤to counteract this narrowing effect.

A smart thermostat that learns a family's daily rhythm can lower the temperature automatically before everyone wakes up cold, while smart lights ①that follow a resident's schedule no longer need to be switched on and off by hand. These small conveniences rest on a shared foundation: sensors collect data about temperature, motion, and light throughout the home, and an algorithm gradually learns ②which settings match each household's actual habits rather than a factory default. Over months of use, the system becomes noticeably better at ③anticipate needs, often adjusting settings moments before a resident would have reached for a switch. Yet convenience comes with a trade-off that many households ④overlook. Every one of these small adjustments depends on constant data collection, meaning that a detailed record of when people wake, leave, and return home is quietly ⑤being stored somewhere beyond their immediate control.

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.

Climate scientists frequently warn about tipping points, thresholds beyond which a small additional change ①triggers a large, often irreversible shift in the climate system. Unlike gradual warming, which unfolds steadily over decades, crossing a tipping point can produce dramatic consequences within a short period. For instance, as Arctic ice melts, it exposes darker ocean water that ②absorb more sunlight than reflective ice, accelerating further melting in a self-reinforcing cycle. Similarly, scientists worry that a major ocean current, which currently ③redistributes heat across the planet, could slow dramatically if enough freshwater from melting glaciers dilutes the surrounding seawater. Once such thresholds are crossed, ④restoring the original balance may become nearly impossible, even if emissions are later reduced. Therefore, researchers argue that preventing these transitions ⑤matters more than merely slowing average temperature increases.

Ambitious young athletes and the parents who support them sometimes assume that more training automatically produces ①better results, a belief that occasionally leads to a condition known as overtraining syndrome. Unlike ordinary fatigue that resolves after a few days of rest, overtraining syndrome develops ②rapidly within a single day of insufficient recovery, eventually producing persistent exhaustion, declining performance despite continued hard work, and increased susceptibility to illness and injury. Adolescents may be especially vulnerable, since their bodies are simultaneously coping with the physical demands of growth and the added stress of intensive training schedules. Warning signs are often ③subtle at first, including disrupted sleep, irritability, and a loss of enthusiasm for a sport the athlete once genuinely enjoyed. Recovery from full-blown overtraining syndrome can take ④months rather than days, which is why sports medicine specialists now emphasize monitoring early warning signs and scheduling rest before symptoms ⑤worsen.

In the days leading up to an endurance event, many athletes deliberately ①increase their carbohydrate intake while reducing training volume, a practice known as carbohydrate loading. The strategy is designed to ②maximize the amount of glycogen, the storage form of carbohydrate, packed into muscle tissue before competition begins. Sports nutritionists caution, however, that the timing and composition of meals matter as much as the total quantity of carbohydrate consumed, since eating ③familiar foods immediately before competition can cause digestive discomfort. Athletes are therefore advised to ④practice their nutrition strategy during training rather than experimenting with it for the first time on race day. Beyond carbohydrates, adequate protein and micronutrient intake throughout the training cycle remains ⑤essential, since fueling strategy is only one part of a much larger nutritional picture.

Instead of typing keywords into a search bar, a growing number of people now simply upload a photo and let an algorithm figure out what it contains. This process, known as reverse image search, compares the visual patterns in a picture against a massive database, identifying everything from a landmark in the background to the exact model of a pair of sneakers. Shoppers use it to find where an item seen on the street can be purchased, while students use it to ①identify plants, insects, or historical artworks in seconds. The system works by breaking an image down into countless small features, such as edges, colors, and shapes, then matching that pattern against millions of stored examples. It is ②flawless, however; a ③blurry photo, an unusual camera angle, or an object partly hidden behind another can easily ④confuse the algorithm, leading to search results that have ⑤nothing to do with the original picture at all.

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 _______________.

Mira had lived in a coastal village since birth, watching the tide creep closer to her family's doorstep every year. When the sea finally swallowed the rice paddies that had fed her village for generations, her parents decided that staying was no longer possible. Together with many neighbors, they packed what little they could carry and moved inland, becoming what experts now call climate migrants, _______________. This term, rarely used a decade ago, has become increasingly common as extreme weather displaces communities worldwide. Mira missed her old house terribly, yet she slowly began to build a new life in the crowded city, learning to adapt just as her ancestors once had. International organizations, however, still struggle to agree on how to protect people like her, since climate migrants are not officially recognized as refugees under current law.