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Q2392977 Inglês
Text 3: Extreme heat intensifies across south-west US


A heat dome over the US south-west has translated (1) into extreme heat warnings from coast to coast, which continue to affect more than 110 million people.

Temperature records could be broken in as many as 38 cities. In Las Vegas, the intense heatwave is threatening on Sunday to break or tie the city's record high of 117F (47.2C).

It comes as soaring temperatures are also hitting southern Europe and Canada is battling the worst season of wildfires in its history.

Scientists have long warned (2) that climate change linked to human activities will lead to an increase in the severity and frequency of extreme weather events.

Elsewhere in the south-western US, hundreds of firefighters have been battling brush fires in blistering heat and low humidity on the outskirts of Los Angeles.


Extract from: https://www.bbc.com/news/world-us-canada-66218321
Read text 3 above and check the alternative in which the list of grammatical terms correspond, respectively, to the sequence of the highlighted words.
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Q2392976 Inglês
Text 3: Extreme heat intensifies across south-west US


A heat dome over the US south-west has translated (1) into extreme heat warnings from coast to coast, which continue to affect more than 110 million people.

Temperature records could be broken in as many as 38 cities. In Las Vegas, the intense heatwave is threatening on Sunday to break or tie the city's record high of 117F (47.2C).

It comes as soaring temperatures are also hitting southern Europe and Canada is battling the worst season of wildfires in its history.

Scientists have long warned (2) that climate change linked to human activities will lead to an increase in the severity and frequency of extreme weather events.

Elsewhere in the south-western US, hundreds of firefighters have been battling brush fires in blistering heat and low humidity on the outskirts of Los Angeles.


Extract from: https://www.bbc.com/news/world-us-canada-66218321
When comparing the extracts “A heat dome over the US south-west has translated” (1) and “Scientists have long warned” (2) it is correct to conclude that: 
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Q2392971 Inglês
It can be stated that the order of the adjectives in the noun group “rowdy audience members” found in paragraph 3 of text 1 is determined: 
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Q2389806 Inglês

        Drones are an integral part of the defense and supply-chain industry. However, their prowess and versatility extend beyond these sectors. As the demand for UAVs (unmanned aerial vehicles) continues to increase, the drone market is now estimated to be valued at over 127 billion dollars.


        These uncrewed aircrafts can potentially develop numerous sectors, including transport and travel, exponentially. This is primarily due to their remarkable evolution of collision-avoidance technologies through computer vision and artificial intelligence, allowing them to operate autonomously.


        The dynamic innovation of drone transportation can positively impact emergency services by decreasing emergency response time, offering valuable data from inaccessible regions, and identifying victims via thermal imaging.


Though the concept of a UAV emerges from being “unmanned,” its autonomous power can be used to create functional, personal transportation. Well-known companies like Uber, Airbus, and Boeing are constantly working on developing self-flying drones that can take people from one place to another. 


        In conclusion, drone transportation has a lot of untapped potential beyond supply chain and security surveillance. Whether it is for emergencies, luxury, or space exploration, the future is optimistic for the travel industry.


Internet: <www.skygrid.com> (adapted).




Based on the previous text, judge the following item. 


The word “their” (second sentence of the second paragraph) refers back to “sectors” (first sentence of the second paragraph).  

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Q2387709 Inglês
Audit data analytics, machine learning, and full population testing


Technologies are evolving at an unprecedented pace and pose significant challenges and opportunities to companies and related parties, including the accounting profession. In today’s business environment, it is inevitable for companies to react quickly to changing conditions and markets. Many companies are seeking better ways to utilize emerging technologies to transform how they conduct business. We live in an age of information explosion, with technologies capable of making revolutionary changes in various industries and reshaping business models. At present, many companies view data as one of their most valuable assets. They amass an unprecedented amount of data from their daily business operation and strive to harness the power of data through analytics. Emerging technologies like robotic process automation, machine learning, and data analytics also impact the accounting profession. It is important for the profession to understand the impacts, opportunities, and challenges of these technologies.


Specifically, in audit and assurance areas, data analytics and machine learning will lead to many changes in the foreseeable future. Audit sampling is one such potential change. The use of sampling in audits has been criticized since it only provides a small snapshot of the entire population. To address this major issue, this study introduces the idea of applying audit data analytics and machine learning for full population testing through the concept of “audit-by-exception” and “exceptional exceptions.” In this way, the emphasis of audit work shifts from “transaction examination” to “exception examination” and prioritizes the exceptions based on different criteria. Consequently, auditors can assess the associated risk based on the entire population of the transactions and thus enhance the effectiveness and efficiency of the audit process.


Adapted from the introduction to a study published in: https://www.sciencedirect.com/science/article/pii/S240591882200006X
In the sentence “Emerging technologies like robotic process automation” (1st paragraph), “like” expresses:
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Respostas
11: B
12: A
13: B
14: E
15: E