영어 모의고사 (자동 편성)

Many companies today advertise their products as environmentally friendly, yet not all of these claims are accurate. This practice, ①knowing as greenwashing, involves exaggerating or fabricating a product's positive impact on the environment. Consumers, ②who are increasingly concerned about climate change, often trust such claims without questioning them closely. As a result, they may pay higher prices for products ③that are no more sustainable than ordinary alternatives. Genuine environmental efforts, which usually ④require significant investment and long-term planning, are far more costly than simply changing a label. Therefore, governments should establish clear standards ⑤that require companies to prove their environmental claims with verifiable data.

Summer brings a wide variety of delicious fruits, but many of them ①spoil quickly in the heat. Fruits such as watermelon and melon should be kept in the refrigerator once they ②are cut, since exposure to warm air speeds up spoiling. Berries are especially delicate and should not ③washing until just before eating, because moisture encourages mold to grow. Bananas turn black quickly in cold air, so they are best ④kept on the counter. Wrapping cut fruit tightly in plastic wrap also helps keep it ⑤fresh longer.

Summer heat can be just as dangerous for pets ①as it is for people. Dogs and cats cannot cool their bodies as easily as humans, so owners must ②take extra care during hot days. Avoid walking your dog during the hottest hours, since hot pavement ③can burn sensitive paws. Never leave a pet alone in a parked car, even for a few minutes, because the temperature inside ④rising dangerously fast. If your pet seems unusually tired or ⑤refuses to move, contact a veterinarian right away.

Millions of people now wear devices that continuously track their heart rate, sleep patterns, and daily activity, ①generating an intimate stream of health data that would have been unthinkable to collect just two decades ago. Users generally assume this information belongs to them, since it ②is drawn directly from their own bodies. In practice, however, the terms of service that few people read often ③grants the manufacturer broad rights to store, analyze, and even sell anonymized versions of that data to insurers or advertisers. This arrangement becomes especially troubling when health data influences decisions far beyond fitness, such as insurance premiums or employment screening. Advocates for reform argue that biological data deserves a category of protection ④stronger than ordinary consumer information, precisely because it can never truly ⑤be replaced or reset once it has been exposed.

As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. During recent years, this gap became ①impossible to ignore, as families in rural areas or low-income neighborhoods struggled to complete schoolwork that assumed a stable connection and a personal device. Some policymakers initially treated internet access as a ②convenience, comparable to cable television, rather than as infrastructure essential to modern life. That assumption is increasingly being reconsidered, particularly as more essential services move online by default. Closing this divide will require ③far less than simply distributing devices; it will demand ④sustained investment in the physical networks that carry information into every home, ⑤regardless of income or location.

Every time a smartphone connects to a cell tower or a Wi-Fi network, it ①quietly records a data point that can later be pieced together into a detailed map of where its owner has been. Most users agree to this tracking without reading the fine print, assuming that a single company's database poses ②little threat. The real danger, however, emerges when location data from multiple sources is combined. A pattern that reveals a person's home, workplace, and daily route can ③expose far more than any single app ever intended to share. Companies often argue that anonymized data cannot be traced back to individuals, yet researchers have ④repeatedly shown that a handful of location points is enough to identify a specific person with striking accuracy. As a result, privacy experts increasingly insist that location data deserves ⑤minimal legal protection, similar to that of medical records.

The Hopeful Start Workshop will be held on January 10th at the Green Hill Community Center. This event is designed to _______________. The workshop will run from two to four in the afternoon, and participants will learn simple methods for writing goals that are specific and easy to measure. The workshop is open to all middle and high school students, and no experience is required. Registration is free, but seats are limited to thirty people, so early sign-up is recommended.

Hospitals are increasingly adopting AI tools that can scan medical images and flag potential tumors faster than experienced radiologists. When an AI system misses a diagnosis that a human doctor would likely have caught, responsibility becomes difficult to assign. The doctor may argue that they simply trusted a required tool, the hospital may blame the software company, and the software company may argue that no algorithm can be expected to be perfect. As a result, _______________.

The adoption of behavioral insights into government policy has not proceeded without institutional resistance. (A) Career civil servants accustomed to designing programs around traditional levers, such as financial penalties or public information campaigns, have sometimes questioned whether small changes in wording or presentation could meaningfully influence outcomes that seemed to demand more substantial intervention. (B) Skepticism began to diminish, however, as rigorously controlled trials demonstrated measurable improvements in outcomes ranging from tax compliance to vaccination rates, providing evidence that traditional advocates could not easily dismiss. (C) As a result, many governments now require that new behavioral interventions be tested through randomized trials before wider implementation, a practice that has simultaneously built credibility for the approach and generated a growing body of reliable evidence.

This kind of quiet anticipation is precisely what makes the technology feel almost invisible in daily life. 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. ( ① ) These small 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. ( ② ) Over months of use, the system becomes noticeably better at anticipating needs, often adjusting settings moments before a resident would have reached for a switch. ( ③ ) Yet convenience comes with a trade-off that many households overlook. ( ④ ) 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 being stored somewhere beyond their immediate control. ( ⑤ )