영어 모의고사 (자동 편성)

Jiho had always assumed he would join a large corporation after graduation, just as his parents expected. During his final year of university, however, he joined a small student team ①building an app that connected local farmers directly with restaurants. What started as a class project gradually ②turned into something more serious, as several restaurants began placing regular orders through their prototype. Jiho and his teammates decided ③to delay job applications and instead spend a year developing the idea, despite warnings from relatives ④who considered the plan too risky. After nearly failing twice, the team secured a small investment that allowed them ⑤hire their first employee.

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.

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.

Generation Z, typically defined as those born between the late 1990s and early 2010s, approaches shopping quite differently from previous generations. Having grown up with smartphones and social media, they research products extensively online before making even small purchases. Unlike older generations, who often valued brand loyalty above all else, many members of Generation Z prioritize a company's values, switching brands easily if one no longer matches their beliefs. They also tend to favor secondhand and resale platforms, viewing sustainability as an important factor rather than an afterthought. Peer recommendations shared through short videos frequently carry more weight than traditional celebrity endorsements. Businesses that fail to adapt to these preferences risk losing an entire generation of potential customers. Consequently, many companies now ___________.

Retailers frequently rely on sales events to boost short-term revenue, but the psychology behind these promotions is more complex than simple discounting. When a price is crossed out and replaced with a lower number, consumers instinctively perceive the new price as a bargain, even if the original price was rarely charged. This technique, known as anchoring, shapes how shoppers judge value by comparing prices rather than evaluating a product on its own merits. Retailers also use phrases such as "while supplies last" to suggest scarcity, even when inventory remains plentiful. Over time, frequent sales can actually train customers to wait for discounts rather than buy at full price, which can hurt long-term profits. Despite this risk, many companies continue relying on sales events because ___________.

Artificial intelligence has begun to play a surprising role in creative industries once thought to be uniquely human. Some artists welcome 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 lacks the emotional depth that comes from genuine human experience. Despite this debate, most experts agree that AI is unlikely to fully replace artists anytime soon. Instead, it ___________, helping creators experiment faster while leaving final artistic decisions to humans.

The rise of green jobs illustrates how environmental policy can reshape entire industries. (A) However, critics note that shifting from fossil fuel jobs to green jobs is not always straightforward, since the two require different sets of skills. (B) These positions, ranging from solar panel installation to energy-efficient building design, have grown especially fast in countries investing heavily in renewable energy. (C) To address this gap, governments are introducing training programs that help workers transition smoothly between industries.

Telemedicine has sparked debate among healthcare professionals about its proper role in modern medicine. (A) Critics counter that virtual visits cannot fully substitute for physical examinations, which remain essential for diagnosing certain conditions accurately. (B) Most experts, weighing both sides, conclude that telemedicine works best as a complement to, rather than a replacement for, traditional care. (C) Supporters point out that virtual visits save time and extend healthcare access to patients living far from hospitals.

Pop-up stores have become a popular way for brands to create memorable experiences. (A) As a result, visitors often feel a stronger emotional connection to the brand than they would from an ordinary store visit. (B) Because these spaces exist only temporarily, customers feel a sense of urgency to visit before the opportunity disappears. (C) Many brands design these spaces to be visually striking, encouraging visitors to share photographs on social media.

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.