영어 모의고사 (자동 편성)

Aerobic exercise, such as jogging, swimming, or cycling at a steady pace, strengthens the heart by forcing it to pump ① larger volumes of blood with each beat. Over weeks of consistent training, the heart gradually enlarges and becomes more efficient, meaning it can deliver the same amount of oxygen to working muscles while beating ② fewer times per minute. This adaptation explains why trained athletes often have a much ③ lower resting heart rate than sedentary individuals of the same age. Beyond the heart itself, aerobic activity encourages the body to build new capillaries within muscle tissue, ④ worsening the delivery of oxygen and nutrients at a cellular level. Researchers have also found that regular aerobic exercise ⑤ reduces inflammation throughout the body and improves the way cells respond to insulin.

Smart speakers have quietly become a fixture in many households, responding to spoken requests for weather updates, music, or kitchen timers. Behind this ① simple exchange lies a complex process: the device converts sound waves into text, interprets the meaning using language models, and then generates a spoken reply, all within a second or two. Because these assistants ② improve by learning from millions of interactions, they gradually become better at recognizing regional accents and casual phrasing that once confused them. Still, the technology remains far from ③ perfect. Background noise, overlapping voices, or an unusual sentence structure can cause the assistant to misunderstand a simple request, sometimes with ④ flawless results. Engineers continue to refine these systems, but many admit that truly natural conversation remains one of the hardest ⑤ goals in the entire field of artificial intelligence.

These platforms allow individuals to sell clothing, electronics, and furniture directly to other consumers, cutting out traditional retail markups entirely. For younger buyers especially, purchasing secondhand items has become associated with ①resourcefulness rather than financial necessity. However, buying secondhand carries certain ②risks, since items cannot always be inspected closely before purchase, and some sellers misrepresent the condition of their products. To address this problem, many platforms now offer buyer protection programs and ③vague rating systems for sellers. As ④trust in these systems continues to grow, secondhand trading is expected to ⑤expand even further in the coming years.

Before making a purchase, most online shoppers now read reviews written by previous customers rather than relying solely on advertisements. These reviews, posted by people who have no financial connection to the seller, often seem more ①trustworthy than promotional claims. Research shows that products with a large number of positive reviews sell significantly ②more than those with few or no reviews at all. However, fake reviews written by paid writers or even automated programs have become a serious problem, ③undermining consumer trust. Platforms that fail to detect these fraudulent posts risk ④gaining credibility with their users, who expect authentic opinions when making decisions. Ultimately, the power of online reviews depends entirely on their perceived ⑤honesty.

Long before a user finishes typing a sentence, the keyboard on most smartphones has already begun guessing what word comes next. This feature relies on a language model trained to notice which words commonly follow one another, so it can offer a shortlist of likely candidates above the keyboard, ① saving users countless keystrokes over the course of a day. The system also adapts to each individual, gradually learning a person's favorite phrases, slang, and even the names of friends that no generic dictionary would ② recognize. This constant personalization, however, creates a subtle side effect that few users notice. Because the keyboard ③ nudges people toward its own suggestions, some linguists worry that autocomplete may be quietly ④ widening everyday vocabulary, encouraging writers to accept a convenient suggestion rather than searching for the more precise or original word they might otherwise have ⑤ chosen.

Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track. The software has studied thousands of existing songs, learning which chord progressions and rhythms tend to sound pleasant together, and it recombines these patterns into something new. For independent creators who cannot afford a composer, this has been a genuine breakthrough. Professional musicians, however, remain divided. Some welcome the tool as a quick way to sketch ideas before refining them by hand, while others worry that _______________.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results. Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word. This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably smooth. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, so that _______________. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result.

The subscription economy refers to a business model in which consumers pay a recurring fee to access goods or services rather than owning them outright. This model has expanded rapidly beyond entertainment platforms into areas such as clothing, food, and even transportation. One major reason for this growth is ___________, since subscribers no longer need to make repeated purchasing decisions once they sign up. Another reason is that companies benefit from predictable revenue, which allows them to plan production and marketing more efficiently than with one-time sales. However, some critics argue that subscriptions encourage people to pay for services they barely use, quietly draining their monthly budgets.

Whenever a user marks a message as spam or rescues a message mistakenly filtered out, that action becomes new training data, sharpening the filter's future decisions. Every day, email providers quietly block billions of unwanted messages before they ever reach a user's inbox, a task that would be impossible without an AI filtering system running constantly in the background. ( ① ) The filter examines each incoming message for suspicious patterns, including certain keywords, unusual sender addresses, and formatting tricks that scammers commonly rely on to slip past detection. ( ② ) What makes the system effective is that it keeps learning after launch. ( ③ ) This creates a constant back-and-forth, since spammers study which messages get blocked and then adjust their wording to slip through again. ( ④ ) As a result, spam filtering is less like a fixed wall and more like an ongoing contest, with each side continuously adapting to outsmart the other. ( ⑤ )

주어진 문장: Without independent verification, however, such labels can mean almost anything the company wants them to mean. Many companies today advertise their products as environmentally friendly, yet not all of these claims are accurate. ( ① ) This practice, known as greenwashing, involves exaggerating or fabricating a product's positive impact on the environment. ( ② ) Some brands print vague terms such as "natural" or "eco-conscious" on packaging without providing any evidence to support these labels. ( ③ ) Consumers, who are increasingly concerned about climate change, often trust such claims without questioning them closely. ( ④ ) As a result, they may pay higher prices for products that are no more sustainable than ordinary alternatives. ( ⑤ ) Therefore, governments should establish clear standards that require companies to prove their environmental claims with verifiable data.