영어 모의고사 (자동 편성)

Modern sports wearables, from wrist-worn fitness trackers to smart insoles ① embedding in running shoes, continuously collect data that would once have required a laboratory to measure. Heart rate, sleep quality, running cadence, and even subtle changes in gait can now ② be monitored during ordinary daily activity rather than only in a controlled clinical setting. Coaches use this constant stream of information to ③ detect early warning signs of overtraining, sometimes noticing a decline in performance before the athlete consciously feels tired. However, the flood of data has created a new challenge: distinguishing a meaningful pattern from ordinary daily fluctuation ④ requires expertise that many amateur athletes simply do not have. For this reason, most experts recommend ⑤ treating wearable data as a general trend to observe over time, not as a precise diagnostic tool.

Planning a multi-city trip once meant hours ① spent comparing flight schedules, reading hotel reviews, and mapping out which sights were close enough to visit in a single day. AI travel planners now compress much of that work into a short conversation, ② asking about a budget, a travel style, and a handful of preferences before generating a full day-by-day itinerary within minutes. The tool draws on enormous amounts of data, including flight prices, seasonal weather patterns, and reviews ③ leaving by previous travelers, to suggest a route that avoids obvious scheduling conflicts. Many travelers appreciate ④ having a solid starting point rather than a blank page. Still, seasoned travelers warn that these itineraries can feel oddly generic, often ⑤ steering users toward the same popular landmarks.

In recent years, mental health experts have ①identified a distinct emotional response to environmental crisis, commonly called eco-anxiety. Eco-anxiety describes persistent worry, grief, or fear ②triggered by awareness of climate change and its consequences for the future. Although people of all ages can experience it, teenagers and young adults seem especially vulnerable, since they ③anticipate living through decades of worsening conditions. Common symptoms include difficulty sleeping, a sense of hopelessness, and guilt over ordinary choices such as travel or diet. For example, some students report ④feeling paralyzed whenever they read alarming climate news, unable to focus on schoolwork or hobbies. However, experts emphasize that eco-anxiety is not a disorder to be eliminated but a natural reaction that can be channeled productively. Rather than avoiding the topic, young people are encouraged to join community projects, since taking constructive action tends to ⑤restoring a sense of control and ease overwhelming distress.

Instead of typing keywords into a search bar, a growing number of people now simply upload a photo and let an algorithm ① figure out what it contains. This process, known as reverse image search, compares the visual patterns in a picture against a massive database, ② identifying everything from a landmark in the background to the exact model of a pair of sneakers. Shoppers use it to find where an item seen on the street can ③ be purchased, while students use it to identify plants, insects, or historical artworks in seconds. The system works by breaking an image down into countless small features, then ④ matches that pattern against millions of stored examples. It is not flawless, however; a blurry photo, an unusual camera angle, or an object partly hidden behind another can easily ⑤ confuse the algorithm.

Carbon neutrality refers to a state in which the amount of greenhouse gases a country or company releases into the atmosphere ①<u>is balanced</u> by the amount it removes, resulting in zero net emissions. Achieving this goal typically requires several sequential stages rather than a single sudden action. First, organizations attempt to reduce emissions directly ②<u>by replacing</u> fossil fuels with renewable energy sources such as solar or wind power. Next, they improve efficiency throughout their operations, ③<u>minimizing</u> the energy wasted during production and transportation. Only after these direct measures have been maximized do most organizations turn to offsetting, ④<u>which involve</u> funding projects like reforestation or carbon capture to compensate for emissions that cannot yet be eliminated. Critics argue, however, that some companies exploit offsetting too early, ⑤<u>using it to avoid making</u> genuine reductions. Therefore, experts insist that a credible roadmap must always prioritize actual emission cuts before relying on compensation.

On a summer evening, downtown streets often feel ①noticeably hotter than nearby parks or suburban neighborhoods, even after the sun has set. This phenomenon, known as the urban heat island effect, occurs when cities ②retain more heat than surrounding rural areas because of their dense concentration of asphalt, concrete, and buildings. Unlike soil or vegetation, which absorb and release heat ③instantly, these man-made surfaces absorb sunlight during the day and slowly radiate it back at night, preventing temperatures from cooling. Tall buildings packed closely together also block wind, trapping warm air within narrow streets. In contrast, areas with ④abundant trees and open water naturally stay cooler, since plants release moisture that helps lower surrounding temperatures. To reduce this effect, many cities have begun installing rooftop gardens and ⑤expanding public parks, hoping that additional greenery will absorb less heat than pavement does.

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, _______________.

After a viewer finishes an episode, a streaming service rarely leaves the choice of what to watch next entirely up to chance. Instead, a recommendation algorithm compares that viewer's habits with patterns drawn from millions of other users, then ranks thousands of titles in order of predicted interest. The system is not without drawbacks, however. Because the algorithm favors titles similar to what a viewer already enjoys, it can quietly narrow someone's exposure to unfamiliar genres, directors, or cultures, creating a comfortable but repetitive bubble. Some platforms have begun inserting occasional wildcard suggestions, deliberately unrelated to past viewing habits, in an attempt to _______________.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results rather than trusting them. (A) Frequent travelers now point their phone cameras at street signs and receive an instant translation overlaid on the screen, thanks to this leap in accuracy. (B) Even so, the technology still struggles with humor, sarcasm, and cultural nuance, areas where a single wrong word can completely change the intended meaning. (C) Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word.

Consumers today are bombarded with eco-friendly slogans on almost every product they buy. (A) Behind many of these slogans, however, lies a deceptive practice called greenwashing, in which companies exaggerate their environmental efforts without making real changes. (B) Consumers can avoid being fooled by such tactics by checking for recognized certifications and transparent, independently verified reports rather than trusting catchy labels alone. (C) For instance, a firm may highlight one eco-friendly product line while its factories continue to pollute rivers and emit large amounts of carbon.