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The(72)is a system for linking hypertext documents Originally, each document was a page written in(73)with hyperlinks to other documents．Nowadays，XML is gradually starting to take over from(73)．
A．Web
B．E-mail
C．DNS
D．FTP
参考答案
更多 “ The(72)is a system for linking hypertext documents Originally, each document was a page written in(73)with hyperlinks to other documents．Nowadays，XML is gradually starting to take over from(73)．A．WebB．E-mailC．DNSD．FTP ” 相关考题
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Header and Footer are strings of text that are placed at the(75) of each page of a document.A．left or rightB．up or downC．above or belowD．top or bottom
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● （72） means “Any HTML document on an HTTP server”.（72）A. Web ServerB. Web BrowserC. Web SiteD. Web Page
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is a clickable string or graphic that points to another Web page or document.A．AnchorB．BrowserC．HypertextD．Hyperlink
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DOM is a platform. and language-(66)AP1 that allows programs and scripts to dynamically access and update the content, structure and style. of WWW documents(currently, definitions for HTML and XML documents are part of the specification). The document can be further processed and the results of that processing can be incorporated back into the presented(67). DOM is a(68)-based API to documents, which requires the whole document to be represented in(69)while processing it. A simpler alternative to DOM is the event-based SAX, which can be used to process very large(70)documents that do not fit into the memory available for processing.A．specificB．neutralC．containedD．related
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Certain keywords or phrases in a hypertext document are linked to other online documents through(75).A．hyperlinksB．referencesC．transportsD．containments
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The purpose of the requirements definition phase is to produce a clear, complete, consistent, and testable(71 )of the technical requirements for the software product.During the requirements definition phase, the requirements definition team uses an iterative process to expand a broad statement of the system requirements into a complete and detailed specification of each function that the sofrware must perform. and each(72)that it must meet. The starting point is usually a set of high-level requirements from the(73)that describe the project or problem.In either case, the requirements definition team formulates an overall concept for the system and then defines(74)showing how the system will be operated, publishes the system and operations concept document, and conducts a system concept review(SCR).Following the SCR, the team derives(75)requirements for the system from the high level requirements and the system and operations concept. Using structured or object-oriented analysis, the team specifies the software functions and algorithms needed to satisfy each detailed requirement.A．functionB．definitionC．specificationD．statement
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is a collection of web pages connected together with(67). Each document or page has a unique address that allows you to find it among the millions of other documents on the Web. The address is called a(68)(URL)or sometimes a Uniform. Resource Indicator(URL). When you chose a new link by clicking on it or by typing it into the address field your(69)sends a request for that document and displays it on the screen. That link can be to a different section of the current document, another document on the same website as the original or on another website anywhere in the world. Web pages are designed using(70)or HTML.A．World Wild WebB．World Wide WebC．Web Wild WorldD．Word Wide Web
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The approach we propose is a system-oriented methodology for knowledge acquisition. This orientation emphasizes ongoing documentation throughout each cycle and technique applied. Program-wide documentation is suggested, both for the purpose of internal(71)and for later verification and(72)efforts: The documentation system we propose includes a central "knowledge acquisition(73)"which is(74)to reflect knowledge acquisition plans, session nodes, and domain expert participation. Specifically,(75)within the database system include knowledge acquisition forms, which document plans for, and notes from, knowledge acquisition session, domain expert file, and rule content forms.A．interchangeB．interfaceC．communicationD．message
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A(72) is a data communication system that allows a number of independent devices to communications directly with each other in a limited geographic area.A．LANB．WANC．InternetD．Ethernet
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A(n) ______ document is an interlinked system of documents in which a user may iump from one document to another in a nonlinear,associative way．A．HipertextB．WebC．HtmlD．XML
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DOM is a platform. and language -(66)API that allows programs and scripts to dynamically access and update the content, structure and style. of WWW documents(currently, definitions for HTML and XML documents are part of the specification). The document can be further processed and the results of that processing can be incorporated back into the presented(67)DOM is a(68)-based API to documents, which requires the whole document to be represented in(69)while processing it. A simpler alternative to DOM is the event - based SAX, which can be used to process very large(70)documents that do not fit into the memory available for processing.A．specificB．neutralC．containedD．related
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One of the difficulties in building an SQL,like query language for the Web is the absence of a database(71) for this huge, heterogeneous repository of information. However, if we are interested in HTML documents only, we can construct a virtual schema from the implicit structure of these files. Thus, at the highest level of(72) , every such document is identified by its Uniform. Resource Locator(URL), has a(73) and a text. Also, Web servers provide some additional information such as the type, length, and the last modification date of a document. So, for data mining purposes, we can consider the set of all HTML documents as a relation:Document(url, title, text, type, length, modif)Where all the(74) are character strings. In this framework, an individual document is identified with a(75) in this relation. Of course, if some optional information is missing from the HTML document, the associate fields will be left blank, but this is not uncommon in any database.A．schemaB．platformC．moduleD．relation
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First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is ac-curate and efficient enough to improve large-scale document searches online.The system uses pix- el（像素）data in images and potentially video—rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. The knowledge gleaned（收集)from those results can then be ap-plied to other photos without tags or captions（图片说明）,making for more accurate document search results.3 .“Over the last 30 years,”says Associate Professor Lorenzo Torresani,a co-author of the stud-“the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix-els to improve document search.”The researchers designed and tested a machine vision system—a type of artificial intelligence that allows computers to learn without being explicitly programmed—that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers tested their approach using more than 600 search queries（查询）on a database of 50 million Web pa-ges.They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages .They found that this produced a 30 percent improvement in precision over the original search engine purely based on text.A:using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
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First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is ac-curate and efficient enough to improve large-scale document searches online.The system uses pix- el（像素）data in images and potentially video—rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. The knowledge gleaned（收集)from those results can then be ap-plied to other photos without tags or captions（图片说明）,making for more accurate document search results.3 .“Over the last 30 years,”says Associate Professor Lorenzo Torresani,a co-author of the stud-“the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix-els to improve document search.”The researchers designed and tested a machine vision system—a type of artificial intelligence that allows computers to learn without being explicitly programmed—that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers tested their approach using more than 600 search queries（查询）on a database of 50 million Web pa-ges.They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages .They found that this produced a 30 percent improvement in precision over the original search engine purely based on text.The new system was found more effective in document search than the_______.A:using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
考题
The purpose of the requirements definition phase is to produce a clear,complete,consistent,and testable（ ）of the technical requirements for the software product.During the requirements definition phase,the requirements definition team uses an iterative process to expand a broad statement of the system requirements into a complete and detailed specification of each function that the software must perform and each（请作答此空）that it must meet.The starting point is usually a set of high level requirements from the（ ）that describe the project or problem.In either case,the requirements definition team formulates an overall concept for the system and then defines（ ）showing how the system will be operated publishes the system and operations concept document and conducts a system concept review（SCR）.Following the SCR,the team derives（ ）requirements for the system from the high level requirements and the system and operations concept.using structured or object-oriented analysis.the team specifies the software functions and algorithms needed to satisfy each detailed requirement.A.criterion
B.standard
C.model
D.system
考题
The purpose of the requirements definition phase is to produce a clear,complete,consistent,and testable（ ）of the technical requirements for the software product.During the requirements definition phase,the requirements definition team uses an iterative process to expand a broad statement of the system requirements into a complete and detailed specification of each function that the software must perform and each（ ）that it must meet.The starting point is usually a set of high level requirements from the（请作答此空）that describe the project or problem.In either case,the requirements definition team formulates an overall concept for the system and then defines（ ）showing how the system will be operated publishes the system and operations concept document and conducts a system concept review（SCR）.Following the SCR,the team derives（ ）requirements for the system from the high level requirements and the system and operations concept.using structured or object-oriented analysis.the team specifies the software functions and algorithms needed to satisfy each detailed requirement.A.producer
B.customer
C.programmer
D.analyser
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First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel（像素）data in images and potentially video-rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search en-gines. The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（图片说明）,making for more accurate document search results.3. "Over the last 30 years,"says Associate Professor Lorenzo Torresani,a co-author of the stud-y,"the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix- els to improve document search."4. The researchers designed and tested a machine vision system-a type of artificial intelligence that allows computers to learn without being explicitly programmed-that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers test-ed their approach using more than 600 search queries（查询）on a database of 50 million Web pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages.They found that this produced a 30 percent improvement in precision over the original search engine purely based on text. When performing document retrieval the existing search engines ignore______.A: using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
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First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel（像素）data in images and potentially video-rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search en-gines. The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（图片说明）,making for more accurate document search results.3. "Over the last 30 years,"says Associate Professor Lorenzo Torresani,a co-author of the stud-y,"the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix- els to improve document search."4. The researchers designed and tested a machine vision system-a type of artificial intelligence that allows computers to learn without being explicitly programmed-that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers test-ed their approach using more than 600 search queries（查询）on a database of 50 million Web pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages.They found that this produced a 30 percent improvement in precision over the original search engine purely based on text. The new system is expected to improve precision in______.A: using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
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共用题干
First Image-recognition Software1. Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.2. The new system,which was tested on photos and is now being applied to videos,shows for the first time that a machine learning algorithm（运算法则）for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel（像素）data in images and potentially video-rather than just text-to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search en-gines. The knowledge gleaned（收集）from those results can then be applied to other photos without tags or captions（图片说明）,making for more accurate document search results.3. "Over the last 30 years,"says Associate Professor Lorenzo Torresani,a co-author of the stud-y,"the Web has evolved from a small collection of mostly text documents to a modern,massive, fast-growing multimedia data set,where nearly every page includes multiple pictures or videos. When a person looks at a Web page, he immediately gets the gist（主旨）of it by looking at the pictures in it.Yet,surprisingly,all existing popular search engines,such as Google or Bing, strip away the information contained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information contained in image pix- els to improve document search."4. The researchers designed and tested a machine vision system-a type of artificial intelligence that allows computers to learn without being explicitly programmed-that extracts semantic（语义的）information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval.The researchers test-ed their approach using more than 600 search queries（查询）on a database of 50 million Web pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages.They found that this produced a 30 percent improvement in precision over the original search engine purely based on text. The new system was found more effective in document search than the______.A: using photosB: description of the HTML pageC: current popular search enginesD: document searchE: information in imagesF: machine vision systems
考题
The Hypertext Transfer Protocol , the Web's ( ) protocol , is at the heart of the Web. HTTP is implemented in two programs : a ( ) program and a server program . The client program and server program executing on different end systems , talk to each other by (请作答此空) HTTP messages . HTTP defines how Web clients request Web pages from servers and how servers transfer web pages to clients . when a user ( ) a web page , the browser sends http request messages for the objects in the page to the server . The server ( ) the requests and responds with http response messages that contain the objects .A.exchanging
B.changing
C.declining
D.removing
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The technician is moving a user’s files from a Windows XP PC to a Windows Vista PC. Which of the following directories corresponds to each operating system?（）A、c:/users/user1/documents to c:/users/user1/documentsB、c:/documents and settings/user1/my documents to c:/users/user1/documentsC、c:/documents and settings/user1/my documents to c:/documents and settings/user1/my documentsD、c:/users/user1/my documents to c:/users/user1/documents
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Your network contains a single Active Directory domain. You have a file server named Server1 that runs Windows Server 2003 Service Pack 2 (SP2). Users store all of their files in their My Documents folders. You need to move each user’s My Document folder to Server1. You must achieve this goal by using the minimum amount of administrative effort. What should you do? （）A、Configure Folder Redirection by using a Group Policy object (GPO).B、Configure the shared folder settings by using a Group Policy object (GPO).C、From the properties of each user account, assign a home folder.D、From the properties of each user’s My Documents folder, modify the target folder location.
考题
You are the network administrator for The network consists of a single Activev Directory domain named All network servers run Windows Server 2003. The network includes a member server named TestKing4. You need to create a shared folder on TestKing4 to store project documents. You must fulfil the following requirements: 1. Users must be able to access previous versions of the documents in the shared folder. 2. Copies of the documents must be retained every hour during business hours. 3. A history of the last 10 versions of each document must be maintained. 4. Documents that are not contained in the shared folder must not be retained. Which two actions should you perform? （）(Each correct answer presents part of the solution. Choose two.)A、Create the shared folder in the root of the system disk on TestKing4.B、Create a new volume on TestKing4. Create the shared folder on the new volume.C、Enable the Offline Files option to make the shared folder available offline.D、Enable the Offline Files option to make the shared automatically folder available offline.E、Use Disk Management to configure shadow copies of the volume tha contains the shared folder.
考题
You are working on an existing Web site. You need to secure the Web site by redirecting all users to the logon page, Login.aspx. After logging on, users must be sent back to the page that they originally requested. Which code segment should you use? （）A、 In the Web.config file: authorization deny users=”?”//authorization On each page in the Web site: void Page_Load(Object sender, EventArgs E){ FormsAuthentication.Initialize(); //Rest of the Page_Load code goes here}B、On each page in the Web site: void Page_Load(Object sender, EventArgs E){ FormsAuthentication.RedirectToLoginPage(“login.aspx”); //Rest of the Page_Load code goes here}C、On each page in the Web site: void Page_Load(Object sender, EventArgs E){ Response.Redirect(“login.aspx”);//Rest of the Page_Load code goes here}D、In the Web.config file: authentication mode=”Forms” forms name=”.ASPXUSERDEMO” loginUrl=”login.aspx” protection=”All”timeout=”60” / /authentication
考题
单选题You are working on an existing Web site. You need to secure the Web site by redirecting all users to the logon page, Login.aspx. After logging on, users must be sent back to the page that they originally requested. Which code segment should you use? （）A
In the Web.config file: authorization deny users=? //authorization On each page in the Web site: Protected Sub Page_Load(ByVal sender As Object, _ ByVal e As System.EventArgs) Handles Me.Load FormsAuthentication.Initialize() End SubB
On each page in the Web site: Protected Sub Page_Load(ByVal sender As Object, _ ByVal e As System.EventArgs) Handles Me.Load FormsAuthentication RedirectToLoginPage(login.aspx) End SubC
On each page in the Web site: Protected Sub Page_Load(ByVal sender As Object, _ ByVal e As System.EventArgs) Handles Me.Load Response.Redirect(login.aspx) End SubD
In the Web.config file: authentication mode=Forms forms name=.ASPXUSERDEMO loginUrl=login.aspx protection=All timeout=60 //authentication
考题
单选题Your network consists of a single Active Directory domain. Users access and share documents by using a DFS namespace. You need to recommend a solution to manage user access to documents. The solution must meet the following requirements： èAllow for document versioning èAllow for online collaboration What should you recommend？（）A
File Server Resource Manager （FSRM）B
Volume Shadow Copy Service （VSS）C
Microsoft SharePoint Foundation 2010D
Windows System Resource Manager （WSRM）
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单选题class Wrench { public static void main（String [] args） { Wrench w = new Wrench（）； Wrench w2 = new Wrench（）； w2 = go（w，w2）； System.out.print（w2 == w）； } static Wrench go（Wrench wr1， Wrench wr2） { Wrench wr3 = wr1； wr1 = wr2； wr2 = wr3； return wr3； } } 结果是什么？（）A
trueB
falseC
编译失败D
输出不可预期
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