网友您好， 请在下方输入框内输入要搜索的题目：
题目内容
（请给出正确答案）
A startup company in California is using machine learning and arificial itelligence to advise fire departments about how to plan for earthquakes and respond to them. The company hopes its algorithms can take a lot of the guesswork out of the planning process for disaster response by making accurate predictions about earthquake damage. I's one of a handful of companies rolling out atificial itelligence and machine learning systems that could help predict and respond to foods, cyber-attacks and other large- scale disasters.
Nicole Hu, the company's chief technology oflicer, says the key is to feed the computers three mam categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking. The next category is data about the natural environments. For example. "What is the soil like" What is the elevation like? What is the general humidity like?" explains Hu. The third thing we look at is live instant data." she says, such as the magnitude of the quake, the trafic in the area of the quake and the weather at the time of the quake. The computer uses the information to make predictions about what would happen if an earthquake occurred in a particular area. It then uses data from past earthquakes to see whether its predictions are any good, and revises its predictive models accordingly. In other words, it learns as it gocs, which is basically how machine learning works.
Stanford University earthquake engineer Gregory Deierlein consulted for the company. He says one of the most remarkable things about the company's software is its ability to incorporate data from an earthquake as its happening. and to adjust its predictions in real time. "Those sort of things used to be research projects." says Deierlein " After an event, we would collee data and a few years later we' d produce new models." Now the new models appear in a matter of minutes. He note the company's exact methods are opaque. "Like many startup companies they're not fully transparent in everything they're doing." He says.“I mean, that's their proprietary knowledge that they're proprietary knowledge that they're bringing to it."Nonetheless, some first responders are already convinced the software will be useful. Fire chief Dan Ghiorso leads the Woodside Fire Protection District near San Francisco, which covers 32 square miles. The San Andrea's fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he 'd have to make educated guesses about what parts of his district might have suffered the most damage, and then drive to each place to make a visual inspection. He hopes the company' s software will change that, although he has yet to put it to the test during an actual quake." Instead of driving thity two square miles, in fifteen minutes on a computer Ican get a good idea of the concerns." he says,“instead of me, taking my educated guess, they re putting science behind it, so I' m very confident." Unfortunately, it's going to take a natural disaster to see if his confidence is justified.
What is the author' s attitude towards the software?
Nicole Hu, the company's chief technology oflicer, says the key is to feed the computers three mam categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking. The next category is data about the natural environments. For example. "What is the soil like" What is the elevation like? What is the general humidity like?" explains Hu. The third thing we look at is live instant data." she says, such as the magnitude of the quake, the trafic in the area of the quake and the weather at the time of the quake. The computer uses the information to make predictions about what would happen if an earthquake occurred in a particular area. It then uses data from past earthquakes to see whether its predictions are any good, and revises its predictive models accordingly. In other words, it learns as it gocs, which is basically how machine learning works.
Stanford University earthquake engineer Gregory Deierlein consulted for the company. He says one of the most remarkable things about the company's software is its ability to incorporate data from an earthquake as its happening. and to adjust its predictions in real time. "Those sort of things used to be research projects." says Deierlein " After an event, we would collee data and a few years later we' d produce new models." Now the new models appear in a matter of minutes. He note the company's exact methods are opaque. "Like many startup companies they're not fully transparent in everything they're doing." He says.“I mean, that's their proprietary knowledge that they're proprietary knowledge that they're bringing to it."Nonetheless, some first responders are already convinced the software will be useful. Fire chief Dan Ghiorso leads the Woodside Fire Protection District near San Francisco, which covers 32 square miles. The San Andrea's fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he 'd have to make educated guesses about what parts of his district might have suffered the most damage, and then drive to each place to make a visual inspection. He hopes the company' s software will change that, although he has yet to put it to the test during an actual quake." Instead of driving thity two square miles, in fifteen minutes on a computer Ican get a good idea of the concerns." he says,“instead of me, taking my educated guess, they re putting science behind it, so I' m very confident." Unfortunately, it's going to take a natural disaster to see if his confidence is justified.
What is the author' s attitude towards the software?
A. Pessimistic
B. Positive
C. Ambiguous
D. Critical
B. Positive
C. Ambiguous
D. Critical
参考答案
参考解析
解析：态度题，题目考查作者的态度，根据尾段unfortunately,以及后面的内容可以判断，作者是持有消极的态度的。
更多 “A startup company in California is using machine learning and arificial itelligence to advise fire departments about how to plan for earthquakes and respond to them. The company hopes its algorithms can take a lot of the guesswork out of the planning process for disaster response by making accurate predictions about earthquake damage. I's one of a handful of companies rolling out atificial itelligence and machine learning systems that could help predict and respond to foods, cyber-attacks and other large- scale disasters. Nicole Hu, the company's chief technology oflicer, says the key is to feed the computers three mam categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking. The next category is data about the natural environments. For example. "What is the soil like" What is the elevation like? What is the general humidity like?" explains Hu. The third thing we look at is live instant data." she says, such as the magnitude of the quake, the trafic in the area of the quake and the weather at the time of the quake. The computer uses the information to make predictions about what would happen if an earthquake occurred in a particular area. It then uses data from past earthquakes to see whether its predictions are any good, and revises its predictive models accordingly. In other words, it learns as it gocs, which is basically how machine learning works. Stanford University earthquake engineer Gregory Deierlein consulted for the company. He says one of the most remarkable things about the company's software is its ability to incorporate data from an earthquake as its happening. and to adjust its predictions in real time. "Those sort of things used to be research projects." says Deierlein " After an event, we would collee data and a few years later we' d produce new models." Now the new models appear in a matter of minutes. He note the company's exact methods are opaque. "Like many startup companies they're not fully transparent in everything they're doing." He says.“I mean, that's their proprietary knowledge that they're proprietary knowledge that they're bringing to it."Nonetheless, some first responders are already convinced the software will be useful. Fire chief Dan Ghiorso leads the Woodside Fire Protection District near San Francisco, which covers 32 square miles. The San Andrea's fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he 'd have to make educated guesses about what parts of his district might have suffered the most damage, and then drive to each place to make a visual inspection. He hopes the company' s software will change that, although he has yet to put it to the test during an actual quake." Instead of driving thity two square miles, in fifteen minutes on a computer Ican get a good idea of the concerns." he says,“instead of me, taking my educated guess, they re putting science behind it, so I' m very confident." Unfortunately, it's going to take a natural disaster to see if his confidence is justified. What is the author' s attitude towards the software? A. Pessimistic B. Positive C. Ambiguous D. Critical ” 相关考题
考题
– () – We are headquartered in Shanghai.
A、How about the departmental structure in the headquartersB、What is your company profileC、Where are your headquarters
考题
(b) ‘Strategic positioning’ is about the way that a company as a whole is placed in its environment and concerns its‘fit’ with the factors in its environment.With reference to the case as appropriate, explain how a code of ethics can be used as part of a company’soverall strategic positioning. (7 marks)
考题
ALIBABA SEEKS TO RAISE BILLIONS IN IPO Investors in the United States are preparing for the first public sale of stock in the Chinese company Alibaba. The company sells goods________ linking buyers and sellers in the huge Chinese online market. Alibaba is expected to ________ its initial public offering, called an IPO, in September on the New York Stock Exchange. The total value of the company, based in Hangzhou, has been estimated at about $200 billion. Reports from Bloomberg News say Alibaba is offering investors a 12 percent ________ of the company. That would mean the company could raise ________ $20 billion dollars in the public stock sale. After the IPO, Alibaba could become one of the most ________ technology companies in the world. Apple, for example, has a market value of about $600 billion. Google is valued at about $390 billion and Microsoft is worth about $370 billion.
考题
How does the writer feel about the business she runs? ( )A．It's the biggest company in the world．B．It wili possibly be more successful．C． It's one of the most successful businesses．D．It is the only company that is growing all around the world．
考题
How does the writer feel about the business she runs?A. It's the biggest company in the world.
B. It will possibly be more successful.
C. It's one of the most successful businesses.
D. It is the only company that is growing all around the world.
考题
A startup company in California is using machine learning and arificial itelligence to advise fire departments about how to plan for earthquakes and respond to them. The company hopes its algorithms can take a lot of the guesswork out of the planning process for disaster response by making accurate predictions about earthquake damage. I's one of a handful of companies rolling out atificial itelligence and machine learning systems that could help predict and respond to foods, cyber-attacks and other large- scale disasters.
Nicole Hu, the company's chief technology oflicer, says the key is to feed the computers three mam categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking. The next category is data about the natural environments. For example. "What is the soil like" What is the elevation like? What is the general humidity like?" explains Hu. The third thing we look at is live instant data." she says, such as the magnitude of the quake, the trafic in the area of the quake and the weather at the time of the quake. The computer uses the information to make predictions about what would happen if an earthquake occurred in a particular area. It then uses data from past earthquakes to see whether its predictions are any good, and revises its predictive models accordingly. In other words, it learns as it gocs, which is basically how machine learning works.
Stanford University earthquake engineer Gregory Deierlein consulted for the company. He says one of the most remarkable things about the company's software is its ability to incorporate data from an earthquake as its happening. and to adjust its predictions in real time. "Those sort of things used to be research projects." says Deierlein " After an event, we would collee data and a few years later we' d produce new models." Now the new models appear in a matter of minutes. He note the company's exact methods are opaque. "Like many startup companies they're not fully transparent in everything they're doing." He says.“I mean, that's their proprietary knowledge that they're proprietary knowledge that they're bringing to it."Nonetheless, some first responders are already convinced the software will be useful. Fire chief Dan Ghiorso leads the Woodside Fire Protection District near San Francisco, which covers 32 square miles. The San Andrea's fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he 'd have to make educated guesses about what parts of his district might have suffered the most damage, and then drive to each place to make a visual inspection. He hopes the company' s software will change that, although he has yet to put it to the test during an actual quake." Instead of driving thity two square miles, in fifteen minutes on a computer Ican get a good idea of the concerns." he says,“instead of me, taking my educated guess, they re putting science behind it, so I' m very confident." Unfortunately, it's going to take a natural disaster to see if his confidence is justified.
How does Dan Ghlorso view the software?
A. It saves both money and labor.
B. It helps improve the situation
C. It relies too much on past data.
D. It needs more attention
考题
A startup company in California is using machine learning and arificial itelligence to advise fire departments about how to plan for earthquakes and respond to them. The company hopes its algorithms can take a lot of the guesswork out of the planning process for disaster response by making accurate predictions about earthquake damage. I's one of a handful of companies rolling out atificial itelligence and machine learning systems that could help predict and respond to foods, cyber-attacks and other large- scale disasters.
Nicole Hu, the company's chief technology oflicer, says the key is to feed the computers three mam categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking. The next category is data about the natural environments. For example. "What is the soil like" What is the elevation like? What is the general humidity like?" explains Hu. The third thing we look at is live instant data." she says, such as the magnitude of the quake, the trafic in the area of the quake and the weather at the time of the quake. The computer uses the information to make predictions about what would happen if an earthquake occurred in a particular area. It then uses data from past earthquakes to see whether its predictions are any good, and revises its predictive models accordingly. In other words, it learns as it gocs, which is basically how machine learning works.
Stanford University earthquake engineer Gregory Deierlein consulted for the company. He says one of the most remarkable things about the company's software is its ability to incorporate data from an earthquake as its happening. and to adjust its predictions in real time. "Those sort of things used to be research projects." says Deierlein " After an event, we would collee data and a few years later we' d produce new models." Now the new models appear in a matter of minutes. He note the company's exact methods are opaque. "Like many startup companies they're not fully transparent in everything they're doing." He says.“I mean, that's their proprietary knowledge that they're proprietary knowledge that they're bringing to it."Nonetheless, some first responders are already convinced the software will be useful. Fire chief Dan Ghiorso leads the Woodside Fire Protection District near San Francisco, which covers 32 square miles. The San Andrea's fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he 'd have to make educated guesses about what parts of his district might have suffered the most damage, and then drive to each place to make a visual inspection. He hopes the company' s software will change that, although he has yet to put it to the test during an actual quake." Instead of driving thity two square miles, in fifteen minutes on a computer Ican get a good idea of the concerns." he says,“instead of me, taking my educated guess, they re putting science behind it, so I' m very confident." Unfortunately, it's going to take a natural disaster to see if his confidence is justified.
What is NOT needed for training the earthquake predicting software?
A Data about past earthquakes
B. Data about human impacts
C. Data about the geographic conditions
D. Data about the buildings
考题
A startup company in California is using machine learning and arificial itelligence to advise fire departments about how to plan for earthquakes and respond to them. The company hopes its algorithms can take a lot of the guesswork out of the planning process for disaster response by making accurate predictions about earthquake damage. I's one of a handful of companies rolling out atificial itelligence and machine learning systems that could help predict and respond to foods, cyber-attacks and other large- scale disasters.
Nicole Hu, the company's chief technology oflicer, says the key is to feed the computers three mam categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking. The next category is data about the natural environments. For example. "What is the soil like" What is the elevation like? What is the general humidity like?" explains Hu. The third thing we look at is live instant data." she says, such as the magnitude of the quake, the trafic in the area of the quake and the weather at the time of the quake. The computer uses the information to make predictions about what would happen if an earthquake occurred in a particular area. It then uses data from past earthquakes to see whether its predictions are any good, and revises its predictive models accordingly. In other words, it learns as it gocs, which is basically how machine learning works.
Stanford University earthquake engineer Gregory Deierlein consulted for the company. He says one of the most remarkable things about the company's software is its ability to incorporate data from an earthquake as its happening. and to adjust its predictions in real time. "Those sort of things used to be research projects." says Deierlein " After an event, we would collee data and a few years later we' d produce new models." Now the new models appear in a matter of minutes. He note the company's exact methods are opaque. "Like many startup companies they're not fully transparent in everything they're doing." He says.“I mean, that's their proprietary knowledge that they're proprietary knowledge that they're bringing to it."Nonetheless, some first responders are already convinced the software will be useful. Fire chief Dan Ghiorso leads the Woodside Fire Protection District near San Francisco, which covers 32 square miles. The San Andrea's fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he 'd have to make educated guesses about what parts of his district might have suffered the most damage, and then drive to each place to make a visual inspection. He hopes the company' s software will change that, although he has yet to put it to the test during an actual quake." Instead of driving thity two square miles, in fifteen minutes on a computer Ican get a good idea of the concerns." he says,“instead of me, taking my educated guess, they re putting science behind it, so I' m very confident." Unfortunately, it's going to take a natural disaster to see if his confidence is justified.
What can be the best title of the passage?
A. Using Artificial Intelligence to Guide Earthquake Response.
B. Comparing Different Earthquake Predicting Software.
C. Challenges for Making Accurate Predictions about Earthquakes.
D. Causes of Naturally Occurring Earthquakes
考题
A startup company in California is using machine learning and arificial itelligence to advise fire departments about how to plan for earthquakes and respond to them. The company hopes its algorithms can take a lot of the guesswork out of the planning process for disaster response by making accurate predictions about earthquake damage. I's one of a handful of companies rolling out atificial itelligence and machine learning systems that could help predict and respond to foods, cyber-attacks and other large- scale disasters.
Nicole Hu, the company's chief technology oflicer, says the key is to feed the computers three mam categories of data. The first is data about homes and other buildings, such as what materials they're made of, when they were built and how likely they are to collapse when the ground starts shaking. The next category is data about the natural environments. For example. "What is the soil like" What is the elevation like? What is the general humidity like?" explains Hu. The third thing we look at is live instant data." she says, such as the magnitude of the quake, the trafic in the area of the quake and the weather at the time of the quake. The computer uses the information to make predictions about what would happen if an earthquake occurred in a particular area. It then uses data from past earthquakes to see whether its predictions are any good, and revises its predictive models accordingly. In other words, it learns as it gocs, which is basically how machine learning works.
Stanford University earthquake engineer Gregory Deierlein consulted for the company. He says one of the most remarkable things about the company's software is its ability to incorporate data from an earthquake as its happening. and to adjust its predictions in real time. "Those sort of things used to be research projects." says Deierlein " After an event, we would collee data and a few years later we' d produce new models." Now the new models appear in a matter of minutes. He note the company's exact methods are opaque. "Like many startup companies they're not fully transparent in everything they're doing." He says.“I mean, that's their proprietary knowledge that they're proprietary knowledge that they're bringing to it."Nonetheless, some first responders are already convinced the software will be useful. Fire chief Dan Ghiorso leads the Woodside Fire Protection District near San Francisco, which covers 32 square miles. The San Andrea's fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he 'd have to make educated guesses about what parts of his district might have suffered the most damage, and then drive to each place to make a visual inspection. He hopes the company' s software will change that, although he has yet to put it to the test during an actual quake." Instead of driving thity two square miles, in fifteen minutes on a computer Ican get a good idea of the concerns." he says,“instead of me, taking my educated guess, they re putting science behind it, so I' m very confident." Unfortunately, it's going to take a natural disaster to see if his confidence is justified.
What can we learn about the earthquake-predicting software?
A. It can incorporate live instant date to adjust its predictions.
B. It can measure and locate earthquakes eficientlt
C. It has proved to be useful in Woodside Fire Protection District.
D. It algorithms have made known to the public
考题
资料：Workforce planning helps an organization to estimate its future workforce requirements and calculate the numbers, nature and sources of potential employees who might meet that demand.
Effective workforce planning helps companies identify and plan how to tackle their current and future workforce challenges and priorities. It provides a sound basis for developing an effective workforce strategy.
An easy way of thinking about workforce planning it to get the right number of people, with the right skills, in the right place, at the right time. For our company, the right people will be those with relevant skills and capabilities to drive the company forward this year, next year and future years. Our company then provides training and development opportunities that enable people to enhance their skill sets and build their careers. This gives the company the continued benefit of experienced,committed and well-trained employees.
Like other established companies,we may have a large number of long-standing employees with vast skills and experience. However, as people retire, it needs to replace those skills. Careful monitoring is essential to examine the age and skills profile of the workforce when compared with present and future company needs. This ensures the business can meet its objective.
Why is workforce planning so essential?
A.because it enables the company to know its employees better.
B.because it makes the company prepared for the potential challenges.
C.because it gives the employees a chance to receive training
D.all above
考题
资料：Workforce planning helps an organization to estimate its future workforce requirements and calculate the numbers, nature and sources of potential employees who might meet that demand.
Effective workforce planning helps companies identify and plan how to tackle their current and future workforce challenges and priorities. It provides a sound basis for developing an effective workforce strategy.
An easy way of thinking about workforce planning it to get the right number of people, with the right skills, in the right place, at the right time. For our company, the right people will be those with relevant skills and capabilities to drive the company forward this year, next year and future years. Our company then provides training and development opportunities that enable people to enhance their skill sets and build their careers. This gives the company the continued benefit of experienced,committed and well-trained employees.
Like other established companies,we may have a large number of long-standing employees with vast skills and experience. However, as people retire, it needs to replace those skills. Careful monitoring is essential to examine the age and skills profile of the workforce when compared with present and future company needs. This ensures the business can meet its objective.
Who may be the potential employees of the company?A.those who have many work experiences.
B.those who are likely to quit in a year.
C.those who are friendly to colleagues.
D.those who are skilled as well as committed.
考题
资料：Workforce planning helps an organization to estimate its future workforce requirements and calculate the numbers, nature and sources of potential employees who might meet that demand.
Effective workforce planning helps companies identify and plan how to tackle their current and future workforce challenges and priorities. It provides a sound basis for developing an effective workforce strategy.
An easy way of thinking about workforce planning it to get the right number of people, with the right skills, in the right place, at the right time. For our company, the right people will be those with relevant skills and capabilities to drive the company forward this year, next year and future years. Our company then provides training and development opportunities that enable people to enhance their skill sets and build their careers. This gives the company the continued benefit of experienced,committed and well-trained employees.
Like other established companies,we may have a large number of long-standing employees with vast skills and experience. However, as people retire, it needs to replace those skills. Careful monitoring is essential to examine the age and skills profile of the workforce when compared with present and future company needs. This ensures the business can meet its objective.
How does the company deal with its retired employees?A.it offers them regular training.
B.it provides them with insurance.
C.both A and B.
D.not mentioned.
考题
As an experienced technician, you are responsible forT echnical Support in your company. One of the trainee implement RIP routing contests in MPLS VPN. How to respond?（）A、Routing contexts are implemented in a single routing process.B、Routing contexts are implemented using multiple roubng processes.C、Routing contexts are implemented as a single instance of several routing processes.D、Routing contexts are implemented as several instances of a single routing process.
考题
An administrator is concerned about users utilizing the company's wireless signal with their personal laptops. Which of the following is the BEST method to use to prevent unauthorized devices from using the company's wireless network?（）A、Secure VPNB、MAC filteringC、IP filteringD、Static IP addresses
考题
Your company has a Microsoft Hyper-V Server 2008 R2 environment. You manage the environment by using Microsoft System Center Virtual Machine Manager （VMM） 2008 R2. You plan to install 3 host servers and 15 child partitions in the virtual environment. You will perform child partition placements by using SAN migration. You need to place the appropriate number of child partitions on each logical unit number （LUN） to support SAN migrations. How many child partitions should you place on each LUN？（）A、1B、3C、5D、15
考题
单选题According to the passage, which of the following statements is NOT true? _____A
As there exist weak parts in different departments of a firm, the training of its staff is highly necessary.B
A training specification is based on the information collected from a job description and a job specification.C
Training in using skills and learning about skills usually do not happen at the same placeD
It is easier to evaluate management training than to evaluate the training of workers and technicians.
考题
单选题You are the administrator of your company’s network. Using Windows Installer packages， you want to install customized versions of Microsoft Excel on different departments in the company. Which type of file should you apply to the installation database？（）A
msiB
mstC
zapD
zip
考题
单选题According to the writer, which of the following is not true about your boss?A
He is the person who supervises you.B
He is the person setting the company’s goals.C
He can keep you informed of company direction concerned with your future.D
He can help you acquire support or cooperation from other departments.
考题
单选题Your company decided to start using RMAN in its backup strategy. Previously your company used operating system file copies. Which command is used to make RMAN aware of existing backups made by copying files at the operating system？（）A
CHANGEB
RESYNCC
CATALOGD
CROSSCHECK
考题
多选题Two Company switches are connected via a trunk using VTP. Which VTP information does a Catalyst switch advertise on its trunk ports when using VTP？（）ASTP root statusBVTP modeCNegotiation statusDManagement domainEConfiguration revision number
考题
单选题What can we learn about the company?A
It has the largest number of customers.B
It is grateful for its employees’ efforts.C
It is successful in the market place.D
It charges the least for its services.
考题
单选题In order to increase revenues, a cellphone company has decided to change its fee structure. Instead of charging a flat rate of $20 per month and $0.05 for every minute over 200 minutes, the company will now charge $50 per month for unlimited usage. Which of the following is a consideration that, if true, suggests that the new plan will not actually increase the company’s revenues?A
A rival company, which charges no start-up fee, offers an unlimited calling plan for $40 per month.B
Two-thirds of the company’s customers use less than 500 minutes per month.C
Studies have shown that customers using unlimited calling plans will increase their monthly usage of minutes by over 50 percent.D
One-fifth of the company’s customers use in excess of 1,000 minutes per month.E
In recent months the company has received several complaints of insufficient signal strength and poor customer service.
考题
问答题Practice 2 ● Recently your company is planning to bid for hosting an exhibition and now the manager of your company has asked you to write a letter to the organizing committee to introduce your company to them. ● Write a letter to introduce the details about your company. ● introducing the department structure and service, ● introducing previous exhibitions you have hosted, ● expressing your confidence in the success if you are permitted to host it.
考题
问答题Practice 5 (The candidate chooses one topic and speaks about it for one minute.) A Advertising: the importance of using celebrities to endorse products B Human Resources: how to retain high achievers on a company’s staff C Business Strategy: the factors involved in influencing market trends rather than reacting to them
考题
单选题According to the writer, the key role of a General Manager is to ______.A
help to formulate company policyB
communicate between groups of peopleC
interpret plans made by senior managementD
divide the company into departments
热门标签
最新试卷