Questões de Língua Inglesa da CESPE / CEBRASPE

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Listagem de Questões de Língua Inglesa da CESPE / CEBRASPE

         Many studies reveal the contributions of plant breeding and agronomy to farm productivity and their role in reshaping global diets. However, historical accounts also implicate these sciences in the creation of new problems, from novel disease vulnerabilities propagated through industrial monocrops to the negative ecological and public health consequences of crops dependent on chemical inputs and industrialized food systems more generally.


        Increasingly, historical analyses also highlight the expertise variously usurped, overlooked, abandoned, or suppressed in the pursuit of “modern” agricultural science. Experiment stations and “improved” plants were instruments of colonialism, means of controlling lands and lives of peoples typically labeled as “primitive” and “backward” by imperial authorities. In many cases, the assumptions of colonial improvers persisted in the international development programs that have sought since the mid-20th century to deliver “modern” science to farming communities in the Global South.


        Awareness of these issues has brought alternative domains of crop science such as agroecology to the fore in recent decades, as researchers reconcile the need for robust crop knowledge and know-how with the imperatives of addressing social and environmental injustice.


Helen Anne Curry; Ryan Nehring. The history of crop science and the future of food.

Internet: <nph.onlinelibrary.wiley.com> (adapted).

Judge the following item about the text above.


The following suggestion can be considered an adequate translation of the first sentence of the second paragraph: Cada vez mais, análises históricas também ressaltam o conhecimento que foi, de maneiras diferentes, usurpado, negligenciado, abandonado ou eliminado na busca da ciência agrária “moderna”. 

#Questão 1077263 - Língua Inglesa, Interpretação de texto | Reading comprehension, CESPE / CEBRASPE, 2025, MPE/CE, Analista Ministerial - Especialidade: Ciências da Computação

        The business intelligence (BI) industry has been challenged with poor user adoption for years. Yet, many CIOs continue to push BI as a core initiative. Billions of dollars have been spent on traditional BI, but adoption rates are below 30%. Why? Successfully levering the full capabilities of business intelligence is still difficult to achieve, and product managers are searching for more. These individuals are looking for ways to expand the impact and value of their BI tools but are lost about where to start.

        The overall goal of BI is to provide business teams with the proper data and information at the right time to create insightful, data-driven decision-making. However, these solutions fall short and continually fail the industry through inefficiency, hefty costs, and an overall lack of value and insightful data production.

        Currently, traditional BI solutions force users to exit their current workflow to even attempt and secure any valuable data. When your team is operating in the middle of their workflow and needs data to inform a decision, they shouldn’t have to exit the application to enter yet another application, gather data and then jump back in. The likelihood of delays in report deliverability also factors into this headache. This process dramatically slows down any workflow and causes frustration for employees, especially when the data secured isn’t always useful.

        Additionally, many BI tools are not designed for business users but instead for more technical individuals within the organization. Traditional vendors often try to cover the complexity of their solution with self-service options and features, but users continue to feel like they need an advanced engineering or computer science degree to navigate them. This sucks up valuable time for non-technical users as they work to navigate a difficult platform to get the information they need.

Internet:: <rtinsights.com>  (adapted). 

Based on the previous text, judge the following item.  


The text states that many CIOs are abandoning BI initiatives due to reported low user adoption rates and high costs. 

         Many studies reveal the contributions of plant breeding and agronomy to farm productivity and their role in reshaping global diets. However, historical accounts also implicate these sciences in the creation of new problems, from novel disease vulnerabilities propagated through industrial monocrops to the negative ecological and public health consequences of crops dependent on chemical inputs and industrialized food systems more generally.


        Increasingly, historical analyses also highlight the expertise variously usurped, overlooked, abandoned, or suppressed in the pursuit of “modern” agricultural science. Experiment stations and “improved” plants were instruments of colonialism, means of controlling lands and lives of peoples typically labeled as “primitive” and “backward” by imperial authorities. In many cases, the assumptions of colonial improvers persisted in the international development programs that have sought since the mid-20th century to deliver “modern” science to farming communities in the Global South.


        Awareness of these issues has brought alternative domains of crop science such as agroecology to the fore in recent decades, as researchers reconcile the need for robust crop knowledge and know-how with the imperatives of addressing social and environmental injustice.


Helen Anne Curry; Ryan Nehring. The history of crop science and the future of food.

Internet: <nph.onlinelibrary.wiley.com> (adapted).

Judge the following item about the text above.


Even though the authors acknowledge the benefits brought to humanity by plant breeding and agronomy, they present a critical view about some aspects of this development, such as the effects of colonialism. 

#Questão 1077264 - Língua Inglesa, Interpretação de texto | Reading comprehension, CESPE / CEBRASPE, 2025, MPE/CE, Analista Ministerial - Especialidade: Ciências da Computação

        The business intelligence (BI) industry has been challenged with poor user adoption for years. Yet, many CIOs continue to push BI as a core initiative. Billions of dollars have been spent on traditional BI, but adoption rates are below 30%. Why? Successfully levering the full capabilities of business intelligence is still difficult to achieve, and product managers are searching for more. These individuals are looking for ways to expand the impact and value of their BI tools but are lost about where to start.

        The overall goal of BI is to provide business teams with the proper data and information at the right time to create insightful, data-driven decision-making. However, these solutions fall short and continually fail the industry through inefficiency, hefty costs, and an overall lack of value and insightful data production.

        Currently, traditional BI solutions force users to exit their current workflow to even attempt and secure any valuable data. When your team is operating in the middle of their workflow and needs data to inform a decision, they shouldn’t have to exit the application to enter yet another application, gather data and then jump back in. The likelihood of delays in report deliverability also factors into this headache. This process dramatically slows down any workflow and causes frustration for employees, especially when the data secured isn’t always useful.

        Additionally, many BI tools are not designed for business users but instead for more technical individuals within the organization. Traditional vendors often try to cover the complexity of their solution with self-service options and features, but users continue to feel like they need an advanced engineering or computer science degree to navigate them. This sucks up valuable time for non-technical users as they work to navigate a difficult platform to get the information they need.

Internet:: <rtinsights.com>  (adapted). 

Based on the previous text, judge the following item.  


The most frequent reason for low BI adoption is that users discover provided data ever-more insightful and directly applicable in the current workflow. 


#Questão 1078394 - Língua Inglesa, Tradução | Translation, CESPE / CEBRASPE, 2025, EMBRAPA, Pesquisador – Área: Ciências da Saúde – Subárea: Nutrição

        Cientistas procuraram avaliar o impacto que certas mudanças climáticas teriam no futuro próximo em cada região produtora de alimentos do globo — e, então, concluíram se as atividades econômicas hoje desenvolvidas ali estão em risco ou não. Na pesquisa, convencionou-se chamar de “ambiente climático seguro” aqueles onde ainda é viável desenvolver a produção de alimentos.


Edson Veiga. Como o aquecimento global ameaça a agropecuária brasileira.

Internet: <brasildefato.com.br> (com adaptações).

Judge whether the item below presents an adequate translation into English of the paragraph above. 


Scientists tried to evaluate how certain climate changes would impact on each food-producing area of the Earth in the future, and then reached the conclusion that the actual economical activities of such areas are at risk. In its research, the term “safe climate environment” was given to those regions in which food production is still feasible. 

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