영어 모의고사 (자동 편성)

Many large companies now rely on artificial intelligence ① to screen job applications before a human ever sees them. These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns ② drawn from previous hiring decisions. However, this reliance on historical data creates a troubling risk. If a company's past hiring favored a particular group, the algorithm may learn to treat that pattern as a marker of success and quietly reproduce it, even when no one ③ intending discrimination. Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias difficult ④ to detect until an outside audit reveals it. Some researchers argue that fairness cannot be added afterward; it must ⑤ be built into the system's design from the very beginning.

Sociologist Erving Goffman argued that people constantly perform for others, much like actors ①managing their image on a stage, a concept known as impression management. This idea applies vividly to social media, where users select flattering photos and delete posts ②that might damage their reputation. Such careful curation allows people ③to present an idealized version of themselves that emphasizes achievements while hiding struggles or ordinary moments. However, when this performance becomes constant, a troubling gap can form between one's authentic self and the polished character ④displaying online. Maintaining that gap requires considerable emotional energy, and studies suggest it often leads to anxiety and exhaustion. Furthermore, comparing one's own carefully staged life to others' equally staged posts can distort what people believe is normal. Therefore, individuals should recognize that some self-presentation online is inevitable, but they must also protect space where imperfection ⑤is allowed to remain visible.

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.

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.

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 building an app that connected local farmers directly with restaurants. What started as a class project gradually turned into something more ①serious, as several restaurants began placing regular orders through their prototype. Jiho and his teammates decided to ②abandon their idea and instead spend a year developing it further, despite warnings from relatives who considered the plan too risky. They worked from a cramped apartment, surviving on ③limited savings while learning skills ranging from coding to negotiating with suppliers. After nearly failing twice, the team secured a small investment that allowed them to hire their first ④employee. Looking back, Jiho believes that the uncertainty of startup life taught him far more about problem-solving than any traditional job could have ⑤offered.

Starting a new diary or planner in January is easy, but keeping it useful all year is ①harder. This guide offers simple tips for using a planner to manage your New Year goals. First, write one ②clear goal at the top of each month so you always remember your main target. Second, break that goal into small weekly tasks instead of writing ③vague plans. Third, check your planner every morning and mark tasks as done when you finish them. Reviewing your notes every Sunday helps you notice patterns in your habits. Finally, do not worry if you skip a day, since staying ④careless matters more than being perfect. These habits can turn your planner into a ⑤powerful tool for reaching your goals.

When people fail to reach a goal, they often feel embarrassed and want to give up. However, ___________. Some people believe failing means they simply lack ability, so they stop trying. Others see failure differently: they treat it as useful information that shows what needs to change. For example, a student who fails a math test might ask the teacher which questions were weak points and study those areas more carefully.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of which was created without the artists' knowledge or consent. (A) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days and compete with the very artists who trained it. (B) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. (C) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

Scarcity has long been recognized as one of the most effective psychological triggers in marketing. (A) For this reason, limited releases often create long lines and instant sellouts, even when the product itself is not extraordinary. (B) Consumers, fearing that they might miss a rare opportunity, tend to make quick decisions without much thought. (C) Yet this excitement can fade quickly once the item is finally obtained, leaving buyers with regret rather than satisfaction.

주어진 문장: Creating a convincing avatar, in other words, is far more complex than simply choosing a picture. The metaverse, a network of interconnected virtual worlds, has begun to generate job opportunities that did not exist just a few years ago. ( ① ) Companies now hire virtual world designers who build digital environments where users can socialize, shop, or attend events. Avatar designers create digital identities that represent users within these spaces, blending artistic skill with technical programming knowledge. ( ② ) Meanwhile, virtual event planners organize concerts, conferences, and product launches entirely within online platforms, reaching audiences that would be impossible to gather in person. ( ③ ) Some analysts remain skeptical, pointing out that the metaverse has not yet attracted the massive user base that early predictions promised. ( ④ ) Nevertheless, major companies continue investing heavily in this technology. ( ⑤ ) For students considering future careers, gaining skills in three-dimensional design and coding may prove valuable.