영어 모의고사 (자동 편성)

Building brand loyalty has traditionally been considered one of the most valuable goals in marketing, since loyal customers ①tend to spend more and recommend products to others. Companies invest significant resources in loyalty programs, ②offering points, discounts, and exclusive access to encourage repeat purchases. Genuine loyalty, critics contend, should be earned through consistent quality and honest treatment of customers, not through artificial incentives that merely ③delays a customer's departure. Furthermore, excessive focus on retaining existing customers can cause companies ④to neglect innovation, since they assume loyal buyers will continue purchasing regardless of improvements. Relying solely on loyalty programs without addressing underlying product quality may ultimately ⑤backfire.

Modern advertising increasingly relies on personal data ①collected from users' browsing habits, search histories, and social media activity. Companies argue that this approach benefits consumers by showing advertisements that are more relevant to their actual interests. However, many critics contend that this level of tracking raises serious concerns about privacy, since users rarely understand how extensively their behavior ②is being monitored. Some algorithms can predict purchasing decisions before consumers themselves are consciously aware of them, ③which feel unsettling to many people. Furthermore, personalized advertising can trap users in a narrow bubble, repeatedly showing them similar products and ④limiting their exposure to alternatives. Supporters counter that consumers who dislike targeted ads can simply ⑤adjust their privacy settings.

When people discuss climate change, they often focus only on rising temperatures or melting ice, treating it as a purely scientific issue. However, the concept of climate justice reminds us that the causes and consequences of climate change are distributed ①evenly across the globe. Wealthy, industrialized nations have historically released the ②largest share of greenhouse gases while building their economies, yet developing nations, which contributed comparatively little, frequently suffer the most ③severe droughts and floods. This gap between responsibility and suffering raises a serious ④ethical question that science alone cannot answer. For example, a farming community in a low-income country may lose its entire harvest to an unusual flood, even though its members have never owned a car or flown on a plane. Therefore, tackling climate change requires more than new technology; it demands ⑤fair policies supporting the very communities least responsible for causing the crisis.

One common method, known as social proof, shows images of many people using or enjoying a product, suggesting that its ①popularity guarantees quality. Another technique appeals to authority, featuring experts or professionals endorsing a product to make it seem more ②credible and trustworthy. Repetition also plays a significant role, since seeing the same advertisement multiple times ③decreases familiarity, which people often mistake for reliability. Researchers studying consumer behavior have found that viewers who understand these techniques are less easily ④influenced by them, since awareness disrupts the automatic psychological response advertisers depend on. For this reason, media literacy programs increasingly teach students to ⑤recognize persuasive techniques hidden within everyday advertisements.

Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox. The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks. What makes the system effective is that it keeps learning after launch: whenever a user marks a message as spam, that action becomes new training data, sharpening the filter's future decisions. This creates a constant back-and-forth, since spammers study which messages get blocked and then adjust their wording to slip through again. As a result, _______________.

Daniel's career reflects how much the space industry has changed since he was a child. (A) As a result, he came to believe that opportunities in space exploration were no longer limited to a small number of government scientists. (B) By the time he entered university, private companies had begun launching satellites and building reusable rockets. (C) This shift eventually led him to join a startup developing lunar landing equipment, a job that barely existed when he first imagined his future.

Many countries and companies today have adopted the goal of carbon neutrality, aiming to balance the greenhouse gases they emit with the amount they remove from the atmosphere. (A) Achieving this goal typically requires several sequential stages rather than a single sudden action; first, organizations attempt to reduce emissions directly by replacing fossil fuels with renewable energy sources such as solar or wind power. (B) Critics argue, however, that some companies exploit offsetting too early, using it to avoid making genuine reductions, so experts insist that a credible roadmap must always prioritize actual emission cuts before relying on compensation. (C) Next, they improve efficiency throughout their operations, minimizing the energy wasted during production and transportation, and only after these measures have been maximized do most organizations turn to offsetting, funding outside projects such as reforestation.

Jiho's path into entrepreneurship began almost by accident, far from the corporate career his parents had imagined for him. (A) Despite warnings from relatives who considered the plan too risky, Jiho and his teammates decided to delay job applications and pursue the idea further. (B) A class project he joined during his final year gradually evolved into something more serious, as restaurants began placing regular orders through their prototype. (C) That decision eventually paid off, as the team secured a small investment after nearly failing twice.

주어진 문장: This is why many coaches encourage athletes to keep their pre-game rituals exactly the same, even when circumstances change. Psychologists who study daily behavior describe habits through a model called the cue-routine-reward loop. ( ① ) This theory explains that every habit begins with a cue, a signal that tells the brain to start an automatic behavior. ( ② ) The brain then performs a routine, which is the action itself, whether physical or mental. ( ③ ) Finally, the brain receives a reward, a positive feeling that makes it want to repeat the same behavior. ( ④ ) For example, a notification sound can act as a cue that leads a student to check a phone, and the relief from boredom becomes the reward. Similarly, opening a refrigerator out of habit rather than hunger shows how a routine can run without conscious thought. Because this loop operates automatically, breaking a bad habit requires changing the routine while keeping the same cue and reward. ( ⑤ ) Understanding this structure helps people redesign daily patterns more effectively than relying on willpower alone.

Unlike a static list of best-sellers, this assistant can adjust its suggestions on the spot, responding to follow-up questions the way a knowledgeable salesperson might in a physical store. Browsing an online store today often means chatting with an AI assistant that asks a few quick questions, such as budget or intended use, before suggesting a short list of products tailored to the answers. ( ① ) Retailers report that shoppers who use these chatbots tend to complete purchases more often and return fewer items, since the guided conversation helps buyers choose products that actually fit their needs. ( ② ) Some shoppers, however, remain wary of how personal the questions can feel. ( ③ ) They wonder how much of that conversation is quietly stored and reused to influence future purchases. ( ④ ) Consumer advocates argue that stores should clearly explain what happens to this data, rather than burying the explanation in a lengthy privacy policy that almost no one reads. ( ⑤ )