2026年IT行业英语专项训练冲刺押题

2026年IT行业英语专项训练冲刺押题I.VocabularyandStructure(20points,1pointforeachitem)Directions:Thereare20incompletesentencesinthispart.ForeachsentencetherearefourchoicesmarkedA,B,CandD.ChoosetheONEthatbestcompletesthesentence.1.A/An______isalightweightAImodelderivedfromalargerfoundationalmodel,fine-tunedforspecificdownstreamtaskstoreduceinferencecostsanddeploymentlatency.A.distilledmodelB.foundationmodelC.pre-trainedmodelD.largelanguagemodel2.WhendeployingcontainerizedapplicationsonKubernetesclusters,the______isresponsibleforcontinuouslymonitoringtherunningstateofpodsandadjustingthenumberofreplicastomatchtheuser-defineddesiredstate.A.kube-proxyB.controllermanagerC.etcdD.kube-scheduler3.Accordingtothecompliancerequirementsofthe2025updatedEUAIAct,general-purposeAImodelswithsystemicriskmustcompleteastrict______assessmentbeforepublicrelease.A.performanceB.robustnessC.complianceD.security4.Whendesigningfront-endapplicationsforcross-platformscenarios,______isadesignpatternthatallowsdeveloperstowritecodeonceanddeployittomultipleplatformssuchasiOS,Androidandweb,whileretainingnativeperformance.A.responsivedesignB.adaptivedesignC.cross-compilationD.hybriddevelopment5.Incloudcomputing,the______deploymentmodelallowsanorganizationtosharecloudinfrastructurewithmultipleorganizationsbutmaintainsseparatedataandcomputingresourcesforeachtenant.A.privatecloudB.publiccloudC.hybridcloudD.multi-tenantcloud6.______isatrainingtechniqueforlargelanguagemodelsthatalignsmodeloutputwithhumanvaluesandpreferencesbytrainingarewardmodelonhumanfeedbackdata.A.ReinforcementLearningfromHumanFeedbackB.SupervisedFine-TuningC.KnowledgeDistillationD.Retrieval-AugmentedGeneration7.InAgiledevelopmentmethodology,a______isatime-boxedperiodduringwhichaspecificsetofdevelopmenttasksmustbecompletedandreadyforreview.A.sprintB.milestoneC.deadlineD.iteration8.Whenawebsiteexperiencesasuddensurgeintrafficthatexceedsthecapacityofexistingservers,______isanautomaticscalingmechanismthataddsmoreserverresourcestohandletheincreasedload.A.scale-inB.scale-outC.loadbalancingD.reverseproxy9.The______ofanAImodelreferstoitsabilitytomaintainstableperformancewhenprocessinginputdatathatcontainsnoise,outliers,orminoradversarialperturbations.A.accuracyB.generalizationC.robustnessD.efficiency10.Inblockchaintechnology,a______isadistributedpublicledgerthatrecordsalltransactionsacrossapeer-to-peernetwork,andrecordscannotbealteredretroactivelywithoutchangingallsubsequentblocks.A.smartcontractB.nodeC.blockD.blockchain11.WhendebuggingmemoryleaksinC++applications,developersoftenuse______toolstotrackmemoryallocationanddeallocationtoidentifyblocksthatareneverreleased.A.profilerB.memorydebuggerC.staticanalyzerD.decompiler12.______isanAIsecuritytechniquethatmodifiesinputdatawithimperceptiblenoisetocauseanAImodeltooutputincorrectclassificationresults.A.DatapoisoningB.AdversarialattackC.BackdoorattackD.Modelstealing13.Inmicroservicearchitecture,______isapatternthatroutesclientrequeststhroughasingleentrypointtomultiplebackendservices,providingfunctionssuchasauthentication,ratelimitingandlogging.A.APIgatewayB.servicediscoveryC.loadbalancerD.messagebroker14.The______processinsoftwaredevelopmentinvolvesrunningteststocheckwhetherthenewfeaturesaddeddonotbreakexistingfunctionalityoftheapplication.A.unittestingB.integrationtestingC.regressiontestingD.systemtesting15.______computingreferstoadistributedcomputingparadigmthatprocessesdataclosertothesourceofdatageneration,ratherthansendingalldatatoacentralizedclouddatacenter,whichreduceslatencyandbandwidthusage.A.CloudB.EdgeC.QuantumD.Distributed16.Whendevelopinglargelanguagemodels,______isamethodthatcombinesthepre-trainedlargemodelwithanexternalknowledgebasetoretrieverelevantinformationbeforegeneration,whicheffectivelyreduceshallucinations.A.fine-tuningB.alignmentC.retrieval-augmentedgenerationD.promptengineering17.Accordingtothesharedresponsibilitymodelofpubliccloudservices,whichofthefollowingistheresponsibilityofthecloudcustomerwhenusingIaaS(InfrastructureasaService)?A.MaintenanceofphysicaldatacentersB.MaintenanceofnetworkinfrastructureC.PatchingofphysicalserversD.Configurationofsecuritygroupsforvirtualmachines18.An______AImodelcanperformmultipletypesoftasks,suchastextgeneration,imagerecognition,andspeechtranslation,ratherthanbeingdesignedforasinglespecifictask.A.task-specificB.general-purposeC.lightweightD.end-side19.Insoftwareversioncontrol,a______isacopyofthemaincodebranchthatdevelopersusetodevelopnewfeatureswithoutaffectingthestabilityofthemainbranch.A.forkB.branchC.commitD.tag20.______istheprocessofconvertinghigh-levelsourcecodeintomachine-executablebinarycodethatcanberundirectlybythecomputer’sprocessor.A.CompilationB.InterpretationC.LinkingD.AssemblyII.ReadingComprehension(40points,2pointsforeachitem)Directions:Thereare3passagesinthispart.Eachpassageisfollowedbysomequestionsorunfinishedstatements.ForeachofthemtherearefourchoicesmarkedA,B,CandD.Youshoulddecideonthebestchoice.Passage1GenerativeAIagentshaveemergedasatransformativetoolforsoftwaredevelopmentin2025,reshapinghowdevelopersplan,code,test,anddeployapplications.Unlikestandalonelargelanguagemodels(LLMs)thatgeneratetextbasedonstaticprompts,AIagentscanautonomouslyperceivetheirworkingenvironment,retainlong-termmemoryoftaskprogress,callexternaltoolslikeAPIsandcodeinterpreters,andmakesequentialdecisionstocompletecomplexdevelopmenttasksthatrequiremultiplesteps.ArecentindustrysurveyconductedbyStackOverflowcovering90,000professionaldevelopersgloballyfoundthat68%ofrespondentshaveintegratedAIagentsintotheirdailyworkflows,with42%reportingthatAIagentshavecuttheirtimespentonrepetitivetaskslikewritingboilerplatecodeanddraftingunittestsbymorethan50%.ManyteamsalsoreportedthatAIagentscanhelpjuniordevelopersquicklygetstartedwithunfamiliartechnologystacks,reducingthetrainingcostfornewteammembersbyanaverageof35%.However,thelarge-scaleadoptionofAIagentsalsobringsnewunresolvedchallenges.56%ofdeveloperssurveyedraisedconcernsabouttheaccuracyofauto-generatedcode,especiallyinsafety-criticalsystemssuchasmedicaldevicecontrolsoftwareandcorefinancialtradingsystems.A2025studyfromStanfordUniversityfoundthat18%ofauto-generatedcodeforsafety-criticalscenarioscontainshiddenlogicflawsthatcanleadtosystemfailures,whichareoftenhardtodetectinmanualcodereview.AnotherkeychallengeistheintellectualpropertydisputeovercodegeneratedbyAIagents.MostcurrentAIagentmodelsaretrainedonlargeamountsofpubliclyavailableopen-sourcecodehostedonGitHubandotherplatforms.Manydevelopersandopen-sourcecommunitiesarguethatAIcompanieshavenotobtainedproperauthorizationtousetheircodeformodeltraining,andthatAIagentsoftenoutputcodesnippetsthatareidenticalornearlyidenticaltoexistingopen-sourcecode,whichviolatesthetermsofopen-sourcelicenses.SomedevelopershaveevenlaunchedaseriesofboycottsagainstAIdevelopmentcompaniesthatuseunlicensedopen-sourcecodefortraining.Despitethesechallenges,theindustrygenerallybelievesthattheapplicationofAIagentsinsoftwaredevelopmentwillcontinuetogrowinthenextthreeyears.By2028,itisestimatedthatmorethan85%ofsoftwaredevelopmentprojectswilluseAIagentstoassistdevelopmentwork.1.AccordingtoParagraph1,whatisthecoredifferencebetweenAIagentsandstandaloneLLMs?A.AIagentscangeneratecode,whilestandaloneLLMscannotB.AIagentscanautonomouslyinteractwiththeenvironmentanduseexternaltoolsC.AIagentsaremuchlargerthanstandaloneLLMsinparametersizeD.AIagentsareonlyusedforsoftwaredevelopment,whilestandaloneLLMsareusedformultipletasks2.WhatbenefitofAIagentsismentionedinthesurveyresult?A.ItcancompletelyeliminatemanualcodereviewforsmallprojectsB.ItcanreducethetrainingcostofnewdevelopersC.Itcanimprovetheaccuracyofcodeforsafety-criticalsystemsD.Itcanresolvelong-standingopen-sourceintellectualpropertydisputes3.Whatpercentageofauto-generatedcodeforsafety-criticalscenarioswasfoundtohavehiddenlogicflawsintheStanfordstudy?A.18%B.42%C.56%D.68%4.Whydoopen-sourcecommunitiesobjecttothecurrenttrainingmethodofAIagents?A.AIagentsgeneratecodethatistoosimilartoopen-sourcecodewithoutauthorizationB.AIagentsreducethedemandforprofessionalopen-sourcedevelopersC.AIagentscannotoutputcodethatcomplieswithopen-sourcelicensetermsD.AIagentschargeforcommercialusewhileusingfreeopen-sourcecode5.Whatcanbeinferredfromthelastparagraph?A.AllchallengesofAIagentswillberesolvedby2028B.AIagentswillreplacehumandevelopersinmostprojectsby2028C.TheindustrygenerallyholdsapositiveattitudetowardsthefuturedevelopmentofAIagentsD.ThegrowthrateofAIagentadoptionwillslowdownafter2025Passage2TheEUAIAct,whichcameintofulleffectin2025,istheworld’sfirstcomprehensiveregulatoryframeworkforartificialintelligence,andithasfar-reachingimpactsonglobalITcompaniesthatprovideAIproductsandservicestoEUusers.TheactclassifiesAIapplicationsintofourriskcategories:unacceptablerisk,highrisk,mediumrisk,andlowrisk,withdifferentregulatoryrequirementsforeachcategory.UnacceptableriskAIsystems,suchassocialscoringandmanipulativeinteractiveAIthatexploitsthevulnerabilityofminors,arecompletelybannedfromtheEUmarket.High-riskAIsystems,includingAIusedinmedicaldevices,educationalassessment,employmentrecruitment,andcriticalinfrastructure,mustundergostrictconformityassessmentandregistrationbeforebeingplacedonthemarket,andmanufacturersarerequiredtomaintaincontinuouspost-marketmonitoring.General-purposeAImodels,especiallylargefoundationmodelswithparametersexceeding100billion,aresubjecttoadditionalmandatoryrequirements.Modelprovidersmustconductcomprehensiveriskassessmentsbeforerelease,publishdetailedsummariesofthetrainingdataused,andrespondtousercomplaintsaboutharmfulcontentgeneratedbythemodel.Companiesthatviolatetherequirementscanfacefinesofupto6%oftheirglobalannualturnover.Formanysmallandmedium-sizedITenterprises,thecompliancecostbroughtbytheEUAIActhasbecomeamajorchallenge.A2025surveyof500Europeansmallandmedium-sizedAIenterprisesfoundthat62%ofrespondentsreportedthattheaverageannualcompliancecostaccountsformorethan15%oftheirannualrevenue,and18%ofsmallenterprisessaidtheymayexittheEUmarketbecausetheycannotaffordthecompliancecost.Ontheotherhand,largemultinationaltechcompaniesgenerallyhavesufficientresourcestoestablishdedicatedcomplianceteams,andmanyhavecompletedthecompliancetransformationoftheirAIproductsoneyearinadvance.ThishasledtoconcernsthatthenewregulationwillincreasethemarketconcentrationoftheAIindustry,makingitharderforsmallstartupstoentertheEUmarket.Despitetheshort-termcostpressure,manyindustryanalystsbelievethattheEUAIActwillbringlong-termbenefitstothehealthydevelopmentoftheglobalAIindustry.Clearregulatoryrulesreducelegaluncertaintyforenterprises,andtheunifiedcompliancestandardacrosstheEUmarketalsoreducesthecompliancecostforenterprisesthatoperateinmultipleEUmemberstates.Inaddition,therequirementsfortransparencyandriskcontrolwillalsohelpimprovepublictrustinAItechnology,whichisconducivetothelong-termlarge-scaleadoptionofAIapplications.6.AccordingtotheEUAIAct,whichofthefollowingAIapplicationsbelongstotheunacceptableriskcategory?A.AI-poweredmedicalimagediagnosisB.SocialscoringAIsystemsC.General-purposelargelanguagemodelsD.AI-poweredchatbotsforcustomerservice7.WhatisthemaximumfineforcompaniesthatviolatetheEUAIActrequirements?A.1%ofglobalannualturnoverB.3%ofglobalannualturnoverC.6%ofglobalannualturnoverD.10%ofglobalannualturnover8.Whydosomesmallandmedium-sizedAIenterprisesplantoexittheEUmarket?A.Theyarenotallowedtolaunchsmall-parameterAImodelsB.TheycannotaffordthehighcompliancecostrequiredbytheactC.TheirproductscannotpasstheconformityassessmentD.TheEUmarketisalreadydominatedbylargemultinationaltechcompanies9.Whatisthelong-termbenefitoftheEUAIActmentionedinthelastparagraph?A.ItreducesthecompliancecostforallenterprisestozeroB.IteliminatesallpotentialrisksofAIapplicationsC.ItimprovespublictrustinAItechnologyandpromoteslong-termadoptionD.Ithelpssmallenterprisescompetewithlargecompaniesonanequalfooting10.Whichofthefollowingstatementsisconsistentwiththecontentofthepassage?A.TheEUAIActisthefirstcomprehensiveAIregulatoryframeworkintheworldB.AllAImodelsmustundergoconformityassessmentbeforereleaseC.Nogeneral-purposeAImodelscanbelaunchedintotheEUmarketD.Allsmallandmedium-sizedenterpriseswillexittheEUmarketaftertheacttakeseffectPassage3In2024,IBMandabiotechcompanyannouncedthattheysuccessfullyuseda127-qubitquantumcomputertosimulatetheelectronicstructureofasmallproteinmolecule,markingakeymilestoneintheapplicationofquantumcomputingtodrugdiscovery.Unlikeclassicalcomputersthatstoreinformationinbitsthatcanonlybeinoneoftwostates(0or1),quantumcomputersusequbitsthatcanexistinsuperpositionstates,allowingthemtoprocessalargenumberofpossiblemolecularconfigurationsinparallel,whichisfarmoreefficientthanclassicalcomputersforsimulatingcomplexbiologicalmolecules.Traditionaldrugdiscoveryusuallytakes10to15yearsfromtargetidentificationtofinalapproval,withanaveragecostofmorethan2.6billionUSdollars.Oneofthebiggestbottlenecksisthesimulationofthethree-dimensionalstructureandbindingabilityofproteinmolecules,whichisverydifficultforclassicalsupercomputerstocompleteaccuratelywhentheproteinislargeandcomplex.Quantumcomputingisexpectedtobreakthisbottleneck,greatlyshorteningthetimeofearlydrugdiscoveryandreducingR&Dcosts.AccordingtoareportfromMcKinsey,quantumcomputingisexpectedtohelpcreatenewdrugsworth50billionto100billionUSdollarsinannualrevenueby2035,mainlyinthefieldsofoncology,neurodegenerativediseasesandanti-infectivedrugs.However,therearestillmanytechnicalbarrierstothelarge-scaleapplicationofquantumcomputingindrugdiscovery.Currentnoisyintermediate-scalequantum(NISQ)deviceshavehigherrorrates,andthenumberoferror-correctedqubitsthatcanbeusedforpracticalsimulationsisstillverylimited.Formostmediumandlargeproteinmoleculesthatarecommonindrugdiscovery,eventhemostadvancedquantumcomputersavailabletodaydonothaveenoughqubitstocompleteaccuratesimulations.Inaddition,quantumcomputingalgorithmsfordrugdiscoveryarestillintheearlystageofdevelopment,andmostexistingalgorithmscanonlysimulatesmallmoleculeswithdozensofatoms,whichisfarfrommeetingtheactualdemandofdrugR&D.Despitetheremainingchallenges,majorglobalITcompaniesandpharmaceuticalcompanieshaveincreasedtheirinvestmentinquantumdrugdiscovery.Itisexpectedthatthefirstnewdrugdevelopedwiththehelpofquantumcomputingwillenterclinicaltrialsaround2030,andthelarge-scaleapplicationofquantumcomputingindrugdiscoverywillbeachievedbythemiddleof2030s.11.Whatisthekeyadvantageofquantumcomputersoverclassicalcomputersformolecularsimulation?A.QuantumcomputershavelowerenergyconsumptionthanclassicalsupercomputersB.QuantumcomputerscanprocessmultiplepossiblemolecularconfigurationsinparallelC.QuantumcomputershavehigherstoragecapacitythanclassicalcomputersD.Quantumcomputerscansimulateanyproteinmoleculewithzeroerror12.Whatisthebiggestbottleneckoftraditionaldrugdiscoverymentionedinthepassage?A.ItisveryexpensivetoconductclinicaltrialsB.ItishardtorecruitenoughtestsubjectsforclinicaltrialsC.SimulatingthestructureandbindingabilityofproteinmoleculesisdifficultforclassicalcomputersD.Theapprovalprocessofnewdrugsistoolong13.WhatdoesNISQstandforinthepassage?A.Noisyintermediate-scalequantumB.NewintegratedscalablequantumC.Non-error-correctedstablequantumD.Neutralatomscalablequantum14.AccordingtoMcKinsey'sreport,howmuchannualrevenueofnewdrugscanquantumcomputinghelpcreateby2035?A.10-50billionUSdollarsB.50-100billionUSdollarsC.100-150billionUSdollarsD.200-260billionUSdollars15.Whendoestheindustryexpectthefirstquantum-assistednewdrugtoenterclinicaltrials?A.Around2025B.Around2028C.Around2030D.Around2035III.Translation(25points)SectionA(10points,1pointforeachterm)Directions:TranslatethefollowingIT-relatedtermsbetweenChineseandEnglish.1.生成式人工智能2.全栈开发3.大语言模型4.敏捷开发5.零信任架构6.Zero-shotLearning7.AIAlignment8.ContainerOrchestration9.DevOps10.DomainNameSystemSectionB(15points,7.5pointsforeachparagraph)Directions:TranslatethefollowingparagraphsbetweenChineseandEnglish.1.中文译英文：近年来，生成式人工智能技术的快速商业化落地推动了端侧大模型的研发热潮。不同于需要依赖云端服务器运行的传统大模型，端侧大模型可以直接运行在用户的智能手机、智能汽车等终端设备上，无需将用户的个人数据上传到云端处理，能够有效降低数据传输带宽占用和延迟，同时更好地保护用户隐私数据。国内头部科技企业近日发布了最新一代70亿参数端侧大模型，经过模型压缩和优化后，可在主流旗舰手机上实现每秒20个token的推理速度，满足了日常对话、本地智能助手、离线内容生成等多种场景的需求，为端侧AI应用的生态发展提供了新的基础支撑。2.英文译中文：Theriseofremoteworkhasdrivenrapidgrowthinthedemandforzero-trustnetworkarchitectureintheITindustry.Unlikethetraditionalcorporatenetworksecuritymodelthattrustsallusersanddevicesinsidethecorporatefirewall,thezero-trustmodelfollowsthecoreprincipleof"nevertrust,alwaysverify",requiringeveryaccessrequesttocorporateresourcestobeauthenticatedandauthorized,regardlessofwhethertherequestcomesfrominsideoroutsidethecorporatenetwork.Thismodeleffectivelyreducestheriskofinternaldataleakageandlateralattackspread,andhasbecomethestandardsecurityarchitectureformostglobalenterpriseswithremoteteams.IV.ITPracticalWriting(15points)Directions:Youareafront-enddeveloperatane-commercecompany.Yourteamiscurrentlyoptimizingtheproductsearchmoduleofthecompany'smainapp,andyoufoundthatcross-regioncacheinconsistencybetweenthefront-endandback-endsystemsleadstowrongproductpricedisplayfor1.2%ofuserrequests.Yourteamneedstheback-endarchitectureteamtoprovidethefulltechnicaldocumentationoftheoldcachemechanism,andcoordinatea3-dayjointdebuggingschedulenextweektosolvetheproblem.Writeaformalemailtotheheadoftheback-endarchitectureteamtoexplainthesituationandrequestcooperation.Youremailshouldbenolessthan150words,anduseprofessionalITexpressions.答案与解析I.VocabularyandStructure1.答案：A解析：知识蒸馏得到的轻量化模型称为蒸馏模型（distilledmodel），题干描述“从大基础模型衍生而来、针对特定下游任务微调、降低推理成本和延迟”完全符合蒸馏模型的定义。B选项基础模型、C选项预训练模型、D选项大语言模型都不是针对该场景的轻量化专用模型，因此A正确。2.答案：B解析：Kubernetes中，控制器管理器（controllermanager）负责持续监控Pod状态，调整副本数达到用户期望状态。A选项kube-proxy负责网络代理，C选项etd是集群状态存储数据库，D选项kube-scheduler负责将新创建的Pod调度到合适的节点，因此B正确。3.答案：C解析：欧盟AI法案要求大模型上市前完成合规评估（complianceassessment），题干提到合规要求，因此C符合语义。A性能评估、B鲁棒性评估、D安全评估都不符合题干中法案要求的合规评估的语境，因此C正确。4.答案：D解析：混合开发（hybriddevelopment）是跨平台开发模式，一次编写多端部署，同时保留接近原生的性能。A响应式设计是适配不同屏幕尺寸的设计模式，B自适应设计是针对不同设备提供不同布局，C交叉编译是将源代码编译为不同平台可执行文件的过程，因此D正确。5.答案：D解析：多租户云（multi-tenantcloud）允许多个租户共享基础设施，同时数据和资源相互隔离，符合题干描述，因此D正确。A私有云只为单个组织服务，B公有云向所有公众开放，C混合云是私有云和公有云的结合，因此D正确。6.答案：A解析：基于人类反馈的强化学习（RLHF）就是通过人类反馈训练奖励模型，让模型输出对齐人类偏好和价值观，符合题干描述，因此A正确。B监督微调、C知识蒸馏、D检索增强生成都不符合该定义，因此A正确。7.答案：A解析：敏捷开发中，sprint就是固定时长的迭代周期，在这个周期内完成可评审的开发任务，因此A正确。B里程碑是项目中的关键节点，C截止日期是任务结束时间，D迭代是通用术语，sprint是敏捷中特定的时间盒术语，因此A正确。8.答案：B解析：横向扩容（scale-out）就是增加服务器数量来应对流量增长，符合题干描述。Ascale-in是缩容，减少服务器数量，C负载均衡是流量分发，D反向代理是请求转发，因此B正确。9.答案：C解析：AI模型的鲁棒性（robustness）就是模型在输入有噪声、扰动时保持稳定性能的能力，符合题干描述，因此C正确。A准确率是正确输出的比例，B泛化性是模型在unseen数据上的性能，D效率是推理速度和资源占用，因此C正确。10.答案：D解析：区块链就是分布式账本，记录所有交易，不可篡改，符合题干描述，因此D正确。A智能合约是部署在区块链上的自动执行合约，B节点是区块链网络中的参与者，C区块是存储交易记录的单元，因此D正确。11.答案：B解析：内存调试器（memorydebugger）专门用来跟踪内存分配释放，定位内存泄漏，符合题干描述，因此B正确。A性能分析器用来统计程序运行性能，C静态分析器在编译前分析代码缺陷，D反编译器将二进制代码转为源代码，因此B正确。12.答案：B解析：对抗攻击（adversarialattack）就是在输入中添加不可感知的微小扰动，让模型输出错误结果，符合题干描述，因此B正确。A数据投毒是污染训练数据，C后门攻击是在模型中植入后门触发逻辑，D模型窃取是窃取模型参数，因此B正确。13.答案：A解析：微服务架构中，API网关是统一入口，提供认证、限流、日志等功能，符合题干描述，因此A正确。B服务发现是服务地址发现，C负载均衡是流量分发，D消息代理是消息队列中间件，因此A正确。14.答案：C解析：回归测试就是在新增功能后测试原有功能是否被破坏，符合题干描述，因此C正确。A单元测试测试单个模块，B集成测试测试多个模块整合后的功能，D系统测试测试整个系统的功能，因此C正确。15.答案：B解析：边缘计算在数据产生端附近处理数据，减少延迟和带宽占用，符合题干描述，因此B正确，其他选项不符合定义。16.答案：C解析：检索增强生成（RAG）结合外部知识库检索，减少大模型幻觉，符合题干描述，因此C正确，其他选项不符合定义。17.答案：D解析：IaaS共享责任模型中，客户负责虚拟机之上的安全配置，包括安全组配置，物理数据中心、网络基础设施、物理服务器补丁都是云服务商的责任，因此D正确。18.答案：B解析：通用人工智能模型（general-purpose）可以完成多种任务，不是针对单个任务设计，符合题干描述，因此B正确。19.答案：B解析：版本控制中，分支（branch）是从主分支拷贝出来的开发分支，开发新功能不影响主分支稳定，符合题干描述，因此B正确。20.答案：A解析：编译就是将高级源代码转为可执行二进制代码的过程，符合题干描述，因此A正确。II.ReadingComprehension1.B解析：定位第一段第二句“Unlikestandalonelargelanguagemodels...AIagentscanautonomouslyperceivetheirworkingenvironment...callexternaltools”，可知B正确。A错误，原文未说standaloneLLM不能生成代码；C错误，AIagent不一定比LLM大；D错误，原文未说AIagent仅用于软件开发。2.B解析：定位第二段最后一句“reducethetrainingcostfornewteammembersbyanaverageof35%”，可知B正确，其他选项都是挑战，不是优势。3.A解析：定位第三段“18%ofauto-generatedcodeforsafety-criticalscenarioscontainshiddenlogicflaws”，可知A正确。4.A解析：定位第三段“AIagentsoftenoutputcodesnippetsthatareidenticalornearlyidenticaltoexistingopen-sourcecode,whichviolatesthetermsofopen-sourcelicenses”，可知A正确。5.C解析：定位最后一段“theindustrygenerallybelievesthattheapplicationofAIagentsinsoftwaredevelopmentwillcontinuetogrow”，可知行业对AIagent未来发展持积极态度，C正确。6.B解析：定位第二段第一句“UnacceptableriskAIsystems,suchassocialscoring...”，可知B正确。7.C解析：定位第二段最后一句“Companiesthatviolatetherequirementscanfacefinesofupto6%oftheirglobalannualturnover”，可知C正确。8.B解析：定位第三段“18%ofsmallenterprisessaidtheymayexittheEUmarketbecausetheycannotaffordthecompliancecost”，可知B正确。9.C解析：定位最后一段“therequirementsfortransparencyandriskcontrolwillalsohelpimprovepublictrustinAItechnology,whichisconducivetothelong-termlarge-scaleadoptionofAIapplications”，可知C正确。10.A解析：定位第一段第一句“theEUAIAct,whichcameintofulleffectin2025,istheworld’sfirstcomprehensiveregulatoryframeworkforartificialintelligence”，可知A正确，其他选项都不符合原文。11.B解析：定位第一段“allowingthemtoprocessalargenumberofpossiblemolecularconfigurationsinparallel,whichisfarmoreefficientthanclassicalcomputers”，可知B正确。12.C解析：定位第二段“Oneofthebiggestbottlenecksisthesimulationofthethree-dimensionalstructureandbindingabilityofproteinmolecules,whichisverydifficultforclassicalsupercomputerstocompleteaccurately”，可知C正确。13.A解析：原文明确标注“currentnoisyintermediate-scalequantum(NISQ)devices”，可知A正确。14.B解析：定位第二段“quantumcomputingisexpectedtohelpcreatenewdrugsworth50billionto100billionUSdollarsinannualrevenueby2035”，可知B正确。15.C解析：定位最后一段“Itisexpectedthatthefirstnewdrugdevelopedwiththehelpofquantumcomputingwillenterclinicaltrialsaround2030”，可知C正确。III.TranslationSectionA参考译文1.GenerativeArtificialIntelligence(GenerativeAI)2.Full-StackDevelopment3.LargeLanguageModel(LLM)4.AgileDevelopment5.ZeroTrustArchitecture6.零样本学习7.人工智能对齐8.容器编排9.开发运维一体化10.域名系统SectionB参考译文1.参考译文：Inrecentyears,therapidcommercializationofgenerativeartificialintelligencetechnologyhasdrivenaboominresearchanddevelopmentofend-sidelargemodels.Unliketraditionallargemodelsthatrelyoncloudserversforoperation,end-sidelargemodelscanr