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1、农业银行重庆分行2023年“村官”招聘上岸历年高频考点试卷答案详解（图片大小可自由调整）第I卷一.单项选择题(共50题)1.一件工作，甲每天做8小时，30天能完成；乙每天做10小时，22天就能完成。甲每做6天要休息一天，乙每做5天要休息一天，现两队合做，每天都做8小时，做了13天（包括休息日在内）后，由甲单独做，每天做6小时，那么完成这项工作共用了多少天?（）A.21B.22C.23D.24答案：C 本题解析：设总工作量为1，甲每天做8小时的工作效率为1/30，乙每天做8小时的工作效率为1/228/101/27.5。前13天完成的工作量为1/30121/27.5114/5，则完成剩下的甲还需要
2、工作（14/5）（1/306/8）8（天）。第13天后甲休息1天，之后干6天再休息1天，最后做2天完成工作，共需要13161223（天）。2.841 X846+124X54-241 X876+184X415-451X241= ( )A.474735B.473733C.484734D.474531答案：B 本题解析：根据尾数法可得，1X6+4X4-1 X6+4X5-1X1尾数=6+6-6+0-1-0-7尾数=3, B选项正确，A. C、D选项错误。故本题应选B.3.老者还特意提醒你：“凤凰城和麒麟城用的钱币不同，麒麟城用的是麒麟币。我当年去的时候，在麒麟城花4 个麒麟币能买到的东西，在凤凰城就要
3、花10 个凤凰币才能买到。你去凤凰城的路上有一家客栈，好像叫“新月客栈”，你可以在那里用麒麟币跟客栈老板换一些凤凰币，以方便你到了凤凰城使用。”根据老者的描述，你估算一下凤凰币对麒麟币的购买力平价是多少?(请选择正确的一项)A.2:5B.5:2C.3:2D.2:3答案：A 本题解析：暂无解析4.A startup company in California is using machine learning and arificial itelligence to advise fire departments about how to plan for earthquakes and res
4、pond 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. Is one of a handful of companies rolling out atificial itelligence and machine learning systems that could help pre
5、dict and respond to foods, cyber-attacks and other large- scale disasters.Nicole Hu, the companys 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 theyre made of, when they were bui
6、lt 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, s
7、uch 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 pr
8、edictions 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 companys
9、 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 appea
10、r in a matter of minutes. He note the companys exact methods are opaque. Like many startup companies theyre not fully transparent in everything theyre doing. He says.“I mean, thats their proprietary knowledge that theyre proprietary knowledge that theyre bringing to it.Nonetheless, some first respon
11、ders 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 Andreas fault is only a couple hundred feet behind the firehouse. Ghiorso says in the past, when an earthquake hit, he
12、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
13、 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, its going to take a natural disaster to see if his confidence is justified. What can be
14、 the best title of the passage? A.Using Artificial Intelligence to Guide Earthquake ResponseB.Comparing Different Earthquake Predicting SoftwareC.Challenges for Making Accurate Predictions about EarthquakesD.Causes of Naturally Occurring Earthquakes答案：A 本题解析：主旨题。重点读首尾段和每段首尾句，原文第一段第一句“A startup compa
15、nyin California is using machine learning and artificial intelligence to advise fire departments abouthow to plan for earthquakes and respond to them.”和尾段第一句关联词后面的内容“Nonetheless, some first responders are already convinced the software will be useful.”可知A选项正确。5.请在以下图形中任细观察、寻找規律, 并选出你认为最合适的选项()。A.见图AB.见图BC.见图CD.见图D答案：B 本题解析：考察对称性。所以答案选B。6.A.如上图所示B.如上图所示C.如上图所示D.如上图所示答案：D
