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Q2387710 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
A “foreseeable future” (2nd paragraph) is one that:
Alternativas
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:
Alternativas
Q2384537 Inglês

Galway Girl, by Ed Sheeran








(Available at: www.azlyrics.com/lyrics/edsheeran/galwaygirl.html – text specially adapted for this test).

The word “could” in “I could have that voice playing on repeat for a week” (l. 27) means the singer:
Alternativas
Q2384535 Inglês

Galway Girl, by Ed Sheeran








(Available at: www.azlyrics.com/lyrics/edsheeran/galwaygirl.html – text specially adapted for this test).

Mark the alternative that fills out the gaps in lines 03, 04, 07 and 09 of the song, correctly and respectively.
Alternativas
Q2383970 Inglês
Texto 5


What are some microlearning resources that can enhance
your teaching practice?



Powered by AI and the LinkedIn community


Microlearning is a teaching strategy that involves delivering short and focused lessons or activities that target specific learning outcomes. It can help you engage your learners, reinforce key concepts, and enhance retention and transfer of knowledge. In this article, you will discover some microlearning resources that can support your teaching practice and align with various pedagogical theories.


Why microlearning?
Microlearning is not a new concept, but it has become more popular in recent years due to the increasing use of technology and the changing needs and preferences of learners. This type of learning can provide a variety of benefits for both teachers and learners. For example, it can reduce cognitive load and increase attention span by breaking down complex topics into smaller pieces. Additionally, microlearning is convenient and flexible, allowing learners to access content anytime and anywhere. Furthermore, it supports personalized and selfdirected learning by enabling learners to choose their own pace and path. Moreover, it can enhance motivation and engagement by using interactive and multimedia elements. Finally, it can improve retention and application by reinforcing and reviewing essential information and skills.



Disponível em: <https://www.linkedin.com/advice/1/what-some-microlearningresources-can-enhance-your-teaching>. Acesso em: 19 dez. 2023. [Adaptado].

No segundo parágrafo, as palavras ‘additionally’, ‘furthermore’, ‘moreover’ e ‘finally’ são conectivos usados para 
Alternativas
Respostas
21: B
22: E
23: A
24: D
25: C