영어 모의고사 (자동 편성)

Limited-edition products are goods that ①are released in small quantities for a short period of time. Many companies use this strategy because scarcity naturally ②increases how much people desire an item. For instance, a sneaker company that releases only a few thousand pairs of a special design can generate long lines outside stores overnight, ③drawing attention from collectors worldwide. However, this psychological pressure can lead to purchases that ④are driven by fear rather than genuine need. Marketers, aware of this pattern, ⑤continues to design new limited releases because urgency reliably drives sales.

As more businesses move their operations online, cyberattacks ①have become one of the most serious threats facing modern companies. Hackers now target everything from small retail websites to massive financial institutions, ②stealing sensitive data or demanding ransom payments. These specialists design systems ③that detect suspicious activity, patch vulnerabilities before criminals can exploit them, and train employees to recognize phishing attempts. Unlike many technical fields, cybersecurity requires constant learning, ④since hackers continually develop new methods to bypass existing defenses. Universities have responded by creating specialized degree programs, while many companies now ⑤offers scholarships to attract students into this growing field.

The subscription economy refers to a business model ①in which consumers pay a recurring fee to access goods or services rather than owning them outright. One major reason for this growth is convenience, since subscribers no longer need ②to make repeated purchasing decisions once they sign up. Another reason is that companies benefit from predictable revenue, ③what allows them to plan production and marketing more efficiently than with one-time sales. For example, a monthly clothing subscription delivers new outfits automatically, ④saving customers the time and effort of shopping in stores. However, some critics argue that subscriptions encourage people ⑤to pay for services they barely use.

As governments and companies work to address climate change, a new category of employment ①known as green jobs has expanded rapidly. These positions include solar panel installers, wind turbine technicians, and specialists who design energy-efficient buildings. Countries that have invested heavily in renewable energy have seen employment in this sector ②grown far faster than in the economy overall. Young workers, in particular, are drawn to green careers because they ③offer a sense of purpose alongside financial stability. Critics point out that transitioning workers from fossil fuel industries to green jobs is not always simple, ④since the required skills can differ significantly. Governments are therefore introducing training programs designed ⑤to help such workers shift smoothly into renewable energy careers.

Modern factories increasingly rely on collaborative robots, often called cobots, which are designed to work ①safely alongside human employees. Unlike traditional industrial robots that operate behind safety cages, cobots use sensors to detect nearby workers and adjust their movements accordingly. Cobots typically handle repetitive or physically demanding tasks, while human workers focus on tasks that require ②judgment and fine motor skills. This division of labor increases overall ③efficiency, since each side contributes what it does best. Manufacturers who have introduced cobots report ④more workplace injuries, largely because employees no longer perform exhausting repetitive motions all day. As the technology becomes more affordable, smaller companies are also beginning to ⑤adopt cobots.

Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. Some artists ①welcome this technology, using AI tools to explore new styles or overcome creative blocks that once took weeks to resolve. Others, however, argue that AI-generated art ②lacks the emotional depth that comes from genuine human experience. Despite this debate, most experts agree that AI is unlikely to fully ③replace artists anytime soon. Instead, it functions best as a collaborative tool, helping creators experiment ④faster while leaving final artistic decisions to humans. Therefore, artists who learn to work alongside AI may find themselves with a distinct ⑤disadvantage in this rapidly changing industry.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Supporters argue that remote work ①decreases productivity, since employees avoid long commutes and distracting office environments. It also allows companies to hire talented people regardless of where they live, ②widening the pool of candidates. Critics, however, worry that remote work ③weakens teamwork and makes it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel ④isolated and struggle to build strong professional relationships. For these reasons, many experts suggest that the future of work will likely be hybrid, ⑤combining flexibility with occasional in-person collaboration.

Automation is transforming labor markets more ①quickly than economists predicted a decade ago. Factories once staffed by hundreds of workers now rely on robotic arms that assemble products with remarkable ②precision. This shift does not simply eliminate jobs; it also creates roles that never existed before, so technicians who maintain robotic equipment are now in high ③demand. Companies that invested early in automation often report steady increases in productivity, since machines handle repetitive tasks while employees focus on ④creative problem-solving. Without proper retraining support, the benefits of automation may not be shared fairly, ⑤narrowing inequality between skilled and unskilled labor.

As companies collect enormous amounts of personal data to improve their products and target advertisements, serious ethical questions have emerged about how that information should be handled. Employees who work with big data now face responsibilities that previous generations rarely encountered, since a single careless decision can expose millions of people's private information. Regardless of which approach prevails, most experts agree that ___________. Universities have begun adding data ethics courses to computer science programs, recognizing that future employees will need to balance innovation with responsibility.

주어진 문장: This ability to anticipate desires so precisely raises an uncomfortable question about how much companies truly know about us. Modern advertising increasingly relies on personal data collected from users' browsing habits, search histories, and social media activity. ( ① ) Companies argue that this approach benefits consumers by showing advertisements that are more relevant to their actual interests rather than random, generic promotions. ( ② ) However, many critics contend that this level of tracking raises serious concerns about privacy, since users rarely understand how extensively their behavior is being monitored. ( ③ ) Some algorithms can predict purchasing decisions before consumers themselves are consciously aware of them. ( ④ ) Furthermore, personalized advertising can trap users in a narrow bubble, repeatedly showing them similar products and limiting their exposure to alternatives. ( ⑤ ) Given these competing concerns, policymakers must strike a careful balance between allowing innovation and protecting individual privacy rights.