SPM MCQ - Software project management multiple choice questions PDF

Title SPM MCQ - Software project management multiple choice questions
Course Bsc. Information Technology
Institution University of Mumbai
Pages 18
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Software project management multiple choice questions...


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1. Whatdoest heSMART goalst andf or ? A.Spect acul ar ,Measur abl e,Ac t i onabl e,Resour ced,Ti mel y B.Speci fic,Measur abl e,Achi evabl e,Rel evant ,Ti mel y C.Sui t abl e,Measur abl e,Act i onabl e,Revi ewed,Ti mel y D.St andar di z ed,Measur abl e,Ac t i onabl e ,Resour c ed,Ti me l y

2._ __ _ __ __ __ _ ofapr oj ecti st hedi ffer encebet ween t het ot alcos tandt he t ot ali ncomeovert hel i f eofapr oj ect A.Paybackper i od B.Ne tpr esentval ue C.NetPr ofit D.Re t ur nonI nves t ment

3.The__ __ _ __ __ __ i sadi scountr at et hatmakest henetpr esentval ueofal l cashflow equalt ozer o A.I nt er nalr at eofr et ur n B.Ne tpr ofit C.Re t ur noni nv est ment D.Account i ngr at eofr e t ur n

4.A_ __ __ __ _ __ _i sagr oupofpr oj ect st hatar emanagedi nacoor di nat ed wayt ogai n benefit s,t hatwoul dnotbeavai l abl ewhen managi ngt he pr oj ect si ndi vi dual l y A.Pr oj ec t B.Pr ogr am C.Pr oduct D.St r at egy

5.A_ __ __ __ _ __ _pr ovi desj ust i ficat i onf orunder t aki ngapr oj ect .I teval uat es t hebenefit ,cost ,andr i skofal t er nat i veopt i onsandpr ovi desa r at i onal ef ort hepr ef er r edsol ut i on. A.Pr oj ec tPl an B.Busi nesscase C.Pr oj ec tchar t er D.Requi r e me ntspeci ficat i on

6._ __ _ __ __ __ _ pr ovi desan over vi ew ofal lt hepr oj ect st hatanor gani zat i on i sunder t aki ng.I tgi vesor gani zat i onsandmanager st heabi l i t yt osee t heover al lpi ct ur e. A.Pr oj ec tManagement B.Pr ogr am Management C.ScopeManagement D.Pr oj ectpor t f ol i omanagement

7.Ti met aken t obr eakevent hei ni t i ali nvest menti s__ __ _ __ __ __ A.Account i ngper i od B.Repor t i ngper i od C.I nv est me ntper i od D.Paybackper i od

8._ __ _ __ __ __ _ i ndi cat eswhenexpendi t ur eandi ncomewi l lt akepl acei na pr oj ect . A.Cashflow f or ecast B.Cashout flow C.Cashi nflow D.Di scount edcashflow

9.I dent i f yi ngi nst al l at i onst andar ds,pr ocedur es,andt eam or gani zat i oni s doneatwhi ch st epofpl anni ngact i vi t y? A.Anal yz epr oj ec tc har ac t er i st i cs B.Al l ocat er esour c es C.I dent i f ypr oj ecti nf r as t r uct ur e D.Est i mat eeffor tf oreac hac t i vi t y

10. Thepr oductbr eakdown st r uct ur ei sdocument edbyt hepr oduct descr i pt i on.Whi chonenotpar toft hepr oductdescr i pt i on A.Pr oduc ti dent i t y B.Der i vat i on C.Event s D.Re l evantst andar ds

11. Whati sPai rPr ogr ammi ng? A.I ti sapr ogr ammi ngpr oc ess ,wher ei napr ogr ammerwr i t est hepr ogr am t wi ce . B.A devel opmentmet hod,wher et wodevel oper swor kont hesame wor kst at i on. C.I ti sanal gor i t hm t hatfindspai rnumber si nase tofi nt e ger s . D.I ti sawayofr ec t i f yi nger r or si npr ogr amsbyl ooki ngf orpai r sofer r or s .

12. Li f eCycl est agesofATERN Model A.Feasi bi l i t y,Expl or at i on,Engi neer i ng,Depl oyment B.Pl anni ng,Anal ysi s,Desi gn,Codi ng C.Requi r e me nt ,Engi neer i ng,Depl oyment ,Mai nt e nance D.Anal ysi s,Desi gn,Codi ng,Tes t i ng

13. Supposeapr oj ectwasest i mat edt obe40KLOC.Cal cul at et he effor tf oranor gani cmodeoft heCOCOMO model .( Wher et heconst ant c=2. 4andk=1. 05) A.115. 44PM B.1395PM C.1420PM D.1212. 10PM

14. FPest i mat i onmodeli s_ __ __ _ __ __ _ A.Topdown met hod B.Bot t omupme t hod C.Bac kwar dme t hod D.For war dme t hod

15. Whi chmodeli ssui t abl ei fwecant estqui ckl y,r educe uncer t ai nt y,andl essdocument at i on? A.Li nearSequent i alMode l B.Sof t war ePr ot ot ypi ng C.Spi r alMode l D.At er nMode l

16. Kanban i sa__ __ _ __ __ __ A.Si gnboar d B.Whi t e boar d C.Bl ackboar d D.Gl assboar d

17. Whi choft hef ol l owi ngst at est hatwor kexpandst ofil lt het i me avai l abl e? A.CASEt ool s B.Pr i ci ngt owi n C.Par ki nson’ sLaw D.Exper tj udgme nt

18. Whi cht echni quei sappl i cabl ewhenot herpr oj ect si nt hesame anal ogyappl i cat i ondomai n havebeencompl et ed? A.Al gor i t hmi cc os tmode l i ng B.Exper tj udgme nt C.Es t i mat i on byanal ogy D.Par ki ns on’ sLaw

19. LeanDevel opment modelhasmai nf ocuson__ __ _ __ __ __ A.Topr ovi devi si bi l i t yt ot he wor kflow B.Tode l i verwor kpar t saf t erc ompl e t i onofas pr i nt C.I tde l i ver sawor kpr oduc ti noneshot D.Opt i mi zedevel opmentt i meandr esour ces,el i mi nat ewast e,decr ease effor t ,anddef ectr at es.

20. Whati sBr ookLaw? A.Addi ngmanpowert oal at esof t war epr oj ectmakesi tl at er B.Wor kexpandst ofil lt het i meavai l abl e C.Cal cul at et hewor kdayseffor t D.Envi saget henumberandt het ype sofsof t war emodul esi nt hefinalsys t em

21. hecr i t i calpat hmet hod( CPM)i sa__ __ __ _ __ __ A.St r uct ur e B.Ne t wor k C.St andar d D.Pr ot oc ol

22. Whi choft hef ol l owi ngi sNOT an appr oacht oi dent i f yAct i vi t y? A.Pl anni ngBasedAppr oach B.Pr oductBasedAppr oac h C.Ac t i vi t yBasedAppr oach D.Hybr i dAppr oach

23. Act i vi t i esA,B,andC ar et hei mmedi at epr edecessor sf orY act i vi t y.I ft heear l i estfini sht i mesf ort het hr eeact i vi t i esar e12,15, and10,t hen t heear l i es tst ar tt i mef orYwi l lbe__ __ __ _ __ __ A.10 B.15 C.12 D.Cannotbede t er mi ned

24. Whi choft hef ol l owi ngar enotcat egor i esofr esour ces ? A.Labour B.Equi pment C.Money D.Revi ew

25. Whi choft hef ol l owi ngi sNOT t heobj ect i veofAct i vi t yPl anni ng? A.Feasi bi l i t yAssessment B.Cut t i ngdown onRequi r ement s C.Resour c eAl l ocat i on D.Det ai l edCos t i ng

26. A pr oj ecti scompl et edwhen _ _ __ __ __ _ __ ofi tact i vi t i esar e compl et ed. A.Al l B.1 C.0 D.2

27. Ar esour cei sanyi t em orper sonr equi r edf ort he___ __ __ _ __ __ . A.Tes t i ngofpr oj ec t B.Est i mat i onofPr oj ect C.Execut i on ofPr oj ect D.Ter mi nat i onofPr oj ec t

28. Whi choft hef ol l owi ngi snotacat egor yofcost ? A.Usage B.St affc os t C.Ext r acost D.Ov er head

29. Pr oj ectbuffer sar edi vi dedi nt ot hr eezones__ __ __ _ __ __ A.Gr een,Amber ,& Red B.Bl ue,Ye l l ow,& Red C.Gr e en,Pi nk& Ye l l ow D.Red,Gr een& Bl ue

30. Whati smeantbyMCS?I ti sasi mul at i on appr oachf orcompl ex pr obl emsandi sanal t er nat i vet ot hePERT t echni que. A.Me t hodCar l osi mul at i on B.MoneyCar l osi mul at i on C.Mont eCar l osi mul at i on D.Mont eCar l osys t em

31. Thescal er edi n RAG r epor t i ngdenot es A.Ont ar ge t . B.Notont ar ge tbutr e cover abl e. C.Notont ar getandr ecover abl eonl ywi t hdi fficul t y. D.Ont ar ge tandr ecover abl e.

32. I nar evi ew pr ocessf orever yr evi ew meet i ng,whi chi sNOT akey r ol e A.Moder at or B.Recor der C.Revi ewer D.Coor di nat or .

33. EV/AC i st hef or mul af or . A.SPI B.CPI C.SV D.CV

34. Revi ew meet i ngphasei nt her evi ew pr ocessmodeli sf ol l owed by_ __ _ __ __ __ _ A.Rewor k B.Fol l owup C.Pr epar at i on D.Pl anni ng

35. Thehi ghestl evelofneedaccor di ngt o' Masl ow' shi er ar chyof needs'i s__ __ __ _ __ __ A.Est eem Needs B.Sel f Act ual i zat i on C.Psychol ogi calNeeds D.Saf e t yNeeds

36. _ __ _ __ __ __ _ i soneoft het wof act or si n' Her zber g' st wof act or t heor y'ofj obsat i sf act i on. A.Sal ar y B.Hygi ene C.Pr omot i on D.Expect ancy

37. Accor di ngt ot heexpect ancyt heor yofmot i vat i on,gi venby Vr oom,whi chi snott hei nfluenceofmot i vat i on A.Expect ancy B.Per c ei vedval ue C.I nst r ument al i t y D.Zer oexpect ancy

38. AsperVr oom’ st heor y,t hemul t i pl i cat i onofal lt hr eef act or s Expect ancy,I nst r ument al i t y,andPer cei vedval uei s A.Hi er ar chyofNeeds B.Aut onomy C.Tas ki dent i t y D.Mot i vat i on

39. Cont r olofchangesanddocument at i on i st her esponsi bi l i t yof t he__ _ __ __ __ _ _ A.Pr oj ec tmanager B.Revi ewer C.Configur at i on l i br ar i an D.Deve l ope r

40. The__ __ _ __ __ __ char ti samet hodofr ecor di nganddi s pl ayi ngt he wayi nwhi cht het ar gethaschangedt hr oughoutt hedur at i on oft he pr oj ect . A.Sl i pchar t B.Ti mel i nechar t C.Ti me f r amec har t D.Gant tchar t

41. CMM st andsf or _ __ _ __ __ __ _ A.Capabi l i t yModesOfModel B.Capabi l i t yMat ur i t yModel C.Capabi l i t yMat ur e dMode D.Capabi l i t yMat ur e dModel

42. Vmodelwasi nt r oducedasan ext ensi onof _ __ __ __ _ __ _ _ A.Spi r almodel B.Wat er f al lmodel C.RAD model D.Scr um

43. Dur i ngt heuni tt est i ng_ _ __ __ __ _ __ componentofapr ogr am i s t es t ed. A.I ndi vi dual B.Twocombi ned C.Thr eecombi ned D.Fourmodul es

44. Whi choft hef ol l owi ngchar act er i s t i csdoesnotcomesunder I SO? A.Por t abi l i t y B.Usabi l i t y C.Effici ency D.Depl oyment

45. XPi s_ __ __ _ __ __ _ A.Ext r emepr ogr ammi ng B.Ext r apr ogr ammi ng C.Exper tpr ogr ammi ng D.Ext ensi bl epr ogr ammi ng

46. Team st r uct ur ei sdi vi dedi nt o_ __ __ __ _ __ _t eams. A.Two B.Thr ee C.Four D.Fi v e

47. Thef ol l owi ngi snotat ypi calpr oj ectcl osur epr ocess. A.Cl i entaccept anc e B.Re l easi ngs t aff C.Fi nanci alc l osur e D.Pr oj ectf ai l ur e

48. Pr oj ectcl os ur ei sdependenton_ __ __ __ _ __ _ A.Fai l ur eoft as k B.Successf ulcompl et i onoft hepr oj ect C.Shor t ageofst aff D.Lac kofr e sour ces

49. I SO i dent i fieshow manychar act er i s t i cs ? A.Si x B.Sev en

C.Ei ght D.Ni ne

50. Whi choneoft hef ol l owi ngi snotan obj ect i veoft hepost i mpl ement at i onr evi ew? A.Tode t er mi newhi c hpr ac t i ceswor kedwe l landwhi chdi dnotSeven B.Tofixaccount abi l i t yf orper f or manceshor t f al l sNi ne C.Tosuggestmeanst ofinet unev ar i oust ec hni quesusedf orpr oj ec t es t i mat i ons D.Toper f or m cr i t i calanal ysi si nor dert ol ear nandi mpr oveandavoi dt he samemi s t akesi nf ut ur epr oj ect s.

51. Es t abl i sh pr oj ecti nf r ast r uct ur ei ncl udes__ __ _ __ __ __ A.I dent i f yi nst al l at i onst andar dsandpr ocedur es B.Anal yz eot herpr oj ec tchar ac t er i s t i cs C.Revi ew over al lr esour c ees t i mat es D.Modi f yobj ect i v esi nt hel i ghtofs t akehol deranal ysi s

52. Thepr oductdescr i pt i on doesn’ tcont ai n_ __ __ __ _ __ _ A.Pr oduc ti dent i t y B.Descr i pt i on C.Event s D.Re l evantst andar ds

53. PFD st andsf or __ _ __ __ __ _ _ A.Pr oductflow di agr am B.Pr ocessflow di agr am C.Pr oductfir s tdi agr am D.Pr ocessfir stdi agr am

54. Ther ei ssome_ _ __ __ __ _ __ i nt hepr oj ectwhenwewantt ocheck t hatt hequal i t yofwhatwehavedonesof ari sasoundbasi sf orf ur t her wor k. A.Checkpoi nt B.St oppoi nt C.St ar tpoi nt D.Br eakpoi nt

55. Whatdoyoumeanbyt hescopeofapr oj ect ? A.Definewhatt hepr oj ec tt eam mus tachi evef orpr oj ec tsuccess B.Theout comeofapr oj ec tr at hert hant as ks

C.Pr e de t er mi nedr e sul t st owhi c heffor ti sdi r ect ed D.Definest heboundar i esofi t sappl i cat i on

56. Whi choft hef ol l owi ngi snotadi r ectcost A.Dev el opmentcos t B.I nsur ancecos t C.Se t upc os t D.Oper at i onalc os t

57. _ __ _ __ __ __ _ i st het ypeofr i skr el at i ngt ot hr eat st os uccessf ul pr oj ectcompl et i on A.Tec hni calr i sk B.Per s onalr i s k C.Busi nessRi sk D.Pr oj ectRi s k

58. Thephasewi t h whi ch pr oj ectmanagementl i f ecycl est ar t sbef or e t hesof t war edevel opmentl i f ecycl e A.Pl anni ng B.Execut i on C.I ni t i at i on D.Cl osur e

59. Whosuggest sW5HH Pr i nci pl e? A.Boehm B.St al l man C.Henry D.Bob

60. A_ __ __ __ _ __ _ofan act i vi t ymus tbebasedonsomei deaofa met hodofwor k. A.Pl ans B.Met hods C.Met hodol ogi es D.St r at egi c

61. Whi choft hef ol l owi ngi snotapr oj ectmanagementgoal ? A.Keepi ngover al lcos t swi t hi nbudge t . B.Del i ver i ngt hesof t war et ot hec ust ome ratt heagr e edt i me . C.Mai nt ai ni ngahappyandwe l l f unc t i oni ngdeve l opme ntt eam. D.Avoi di ngcust omercompl ai nt s.

62. Accor di ngFr edBr ooks ’vi ew t hesof t war epr oducthavecer t ai n char act er i s t i cs A.Peopl e ,Qual i t y ,Pr oc essandPr oduc t i vi t y B.Per f or mance,Robus t ness,Mai nt ai nabi l i t yandReusabi l i t y C.Compl exi t y,Conf or mi t y,Changeabi l i t yandI nvi si bi l i t y D.Accur acy ,Test abi l i t y ,Vi si bi l i t yandChangeabi l i t y .

63. _ __ _ __ __ __ _ i sat empor ar yendeavorunder t akent ocr eat eauni que pr oduct ,ser vi ce,orr esul t . A.Pr oj ect B.Tas k C.Job D.Pl an

64. A_ __ __ __ _ __ _i sacent r aldocumentt hatdefinest hef undament al i nf or mat i onaboutapr oj ect . A.Pr oduc tChar t er B.Pr oj ectChar t er C.Pr oj ec tChar t D.Pr oductRepor t

65. _ __ _ __ __ __ _ ar epeopl ewhohavei nt er esti nt hepr oj ect . A.Manager s B.Di r ect or s C.St akehol der s D.Ci t i z ens

66. WhatdoesSMART st andf or ? A.Spe ct acul ar ,Measur abl e ,Ac t i onabl e ,Resour c ed,Ti me l y B.Speci fic,Measur abl e,Achi evabl e,Rel evant ,Ti mel y C.Sui t abl e,Measur abl e,Act i onabl e,Revi ewe d,Ti mel y D.St andar di z ed,Measur abl e,Act i onabl e,Resour ced,Ti me l y

67. Thephasewi t h whi ch pr oj ectmanagementl i f ecycl est ar t sbef or e sof t war edevel opmentl i f ecycl e A.Pl anni ng B.Execut i on C.I ni t i at i on D.Cl osur e

68. Changemanagementi sal soknownas_ __ __ _ __ __ _ A.Re l easeManagement B.ScopeManagement C.Configur at i onManageme nt D.Qual i t yManagement

69. Whosuggest sW5HH Pr i nci pl e? A.Boehm ( Bar r yBoehm) B.St al l man C.Henry D.Bob

70. Whi char enott hemai npr oj ectat t r i but esl i s t edbel ow? A.Cos t B.Dur at i on C.Effor t D.Feedback

71. RAD s t andsf or _ __ _ __ __ __ _ A.Rapi dAppl i cat i on Devel opment B.Repeat edAppl i cat i onDeve l opme nt C.ReadyAppl i cat i onDev e l opment D.Re l at i v eAppl i cat i onDev e l opment

72. SDLC st andsf or __ _ __ __ __ _ _ A.Sof t war eDesi gnLi f eCy c l e B.Sof t war eDevel opmentLi f eCycl e C.Syst e m de si gnLi f eCy c l e D.Syst e m Dev el opme ntLi f eCy cl e

73. Wat er f al lModeli snotcal l edas__ _ __ __ __ _ _ A.Li nearSequent i alMode l B.Cl assi cLi f eCy c l eMode l C.OneShot D.I t er at i v eModel

74. TheSpi r alModelofsof t war edevel opment __ _ __ __ __ _ _ A.Endswi t ht hede l i v er yoft hesof t war epr oduct

B.I smor echaot i ct hanI ncr e me nt alMode l C.I ncl udespr oj ec tr i s kseval uat i ondur i ngeac hs t age D.Exc l udesr e qui r e ment sofcus t omer saddr essedl at eron.

75. Whi chi snoti dent i fiedi nt heEvol ut i onar ySof t war ePr ocess Model ? A.I t e r at i v ei nnat ur e B.Caneasi l yaccommodat epr oductr equi r e me ntchange C.Donotgener al l yf ol l ow Thr ow AwayAppr oach D.I ncr e me nt sasandwhenneeded

76. Whatar et hef ourf r amewor kact i vi t i esf oundi n Ext r eme Pr ogr ammi ng( XP)pr ocessmodel A.Anal ysi s ,Desi gn,Codi ng,Test i ng B.Pl anni ng,Anal ysi s,Desi gn,Codi ng C.Pl anni ng,Anal ysi s,Desi gn,Te st i ng D.Pl anni ng,Desi gn,Codi ng,Test i ng

77. Choos et hecor r ectopt i on f r om gi ven bel ow: __ __ _ __ __ __ A.Pr ot ot ypi ngModelf aci l i t at esr e usabi l i t yofcomponent s B.RAD Mode lf aci l i t at esr eusabi l i t yofcomponent s C.Spi r alMode lf aci l i t at esr e usabi l i t yofc omponent s D.I t er at i v emode lf ol l owsonl yacycl e .

78. Mai nobj ect i veofKanban_ __ __ __ _ __ _ A.Vi sual i zet hewor kflow B.DefineRequi r eme nt C.Show Dai l yScr um D.Spr i ntBac kl og 79. Whoi sr esponsi bl ef ort heScr um Model ? A.Dev el oper B.Test e r C.Pr oductOwner D.Ar c hi t ec t ur e

80. How muchweeki sr equi r edt odevel opt hespr i nt ? A.1t o3Weeks B.2t o4Wee ks C.5t o6Wee ks D.2t o5Wee ks

81. Whi choft hef ol l owi ngi sNOT t heobj ect i veofAct i vi t yPl anni ng? A.Feasi bi l i t yAssessment B.Cut t i ngdownonRequi r e me nt s C.Resour c eAl l ocat i on D.Det ai l edCos t i ng

82. Whati sTRUE f oran Act i vi t yPl an? A.Shoul dbefinal i z edatt hebe gi nni ngonl y B.Canbeuncl ear C.Revi sedatr egul ari nt er v al s D.Moni t or i ngdoesnotassi s tPl anni ng

83. Forschedul ecr eat i on,whi ch oft hef ol l owi ngs t agesi snot r equi r ed? A.Const r uc t i ngi de alact i vi t ypl an B.Fundal l ocat i on C.Resour c eAl l ocat i on D.Ac t i vi t yRi s kAnal ysi s

84. Whi choft hef ol l owi ngi sNOT an appr oacht oi dent i f yAct i vi t y? A.Pl anni ngBasedAppr oac h B.Pr oductBasedAppr oach C.Ac t i vi t yBasedAppr oac h D.Hybr i dAppr oach

85. PERTst andsf or __ __ _ __ __ __ A.Pl anni ngExami nat i onResour ci ngTec hni que B.Pr oj ec tExami nat i onRevi ew Techni que C.Pr ogr am Eval uat i onRej ec t i onTechni que D.Pr ogr am Eval uat i onRevi ew Techni que

86. CPM st andsf or __ __ _ __ __ __ A.Cr i t i calPl anni ngMe t hod B.Cr uci alPat hMe t hod C.Cr i t i calPat hMet hod D.Cr uci alPat hManagement

87. Whi choft hef ol l owi ngi sNOT r el at edt oNet wor kPl anni ng Met hods ? A.GANTTChar t B.CPM ( Cr i t i calPat hMe t hod)r e l at ed

C.PERT( ThePr ogr am Eval uat i onandRevi ew Techni que)r el at ed D.Pr e cedenceNe t wor k

88. GANTT Char ti sNOTusedf or _ _ _ __ __ __ _ _ A.Schedul i ng B.St affing C.Resour c eAl l ocat i on D.Deci di ngPr i or i t i e s

89. Whi choft hef ol l owi ngi smostusef ult odecomposebi gpr oj ect s i nt osmal l ermodul esort asks ? A.PERTChar t B.GANTTChar t C.Tas kNe t wor k D.Wor kBr eakdownSt r uc t ur e

90. I nPERT Char tDummyact i vi t yi sr equi r edi f : _ __ _ __ __ __ _ A.Twoormor eact i vi t i e shav esameendi ngev ent s B.Twoormor eac t i vi t i eshav ei dent i cals t ar t i ngandendi ngev ent s C.Twoormor eac t i vi t i eshav edi ffer e ntendi ngevent s D.Twoormor eact i vi t i eshavesames t ar t i ngevent s

91. Endofs t ager evi ew meet i ngi san exampl eof ? A.or alf or malr egul armee t i ng B.or alf or maladhocme e t i ng C.or ali nf or maladhocmee t i ng D.wr i t t enf or maladhocmeet i ng

92. Thescal eamberi n RAG r epor t i ngdenot es A.ont ar ge t B.notont ar ge tbutr e cov er abl e C.notont ar ge tandr ec over abl eonl ywi t hdi fficul t y D.ont ar ge tandr ecover abl e

93. Whoamongt hef ol l owi ngschedul est her evi ew meet i ng? A.Recor der B.Mode r at or C.Revi ewer D.Aut hor

94. Ther evi ew pr ocesswor ksbestwhen t henumberofmember si s bet ween__ _ __ __ __ _ _ A.1015 B.13 C.57 D.mor et han15

95. Thephasewher et hewor kpr oductoft heaut hori sdi st r i but edt o t her evi ew t eam member si scal l edas_ __ __ __ _ __ _ A.r e vi ew mee t i ng B.r ewor k C.pr e par at i on D.moder at i on

96. Whi choft hef ol l owi ngi sNOT ar epor ti n whi cht her evi ew dat ai s capt ur ed? A.Revi ew l og B.Revi ew char t er C.r evi ew pr e par at i onl og D.r evi ew summar yr epor t

97. Whi cht echni quei sbestsui t edf orl ongdur at i onpr oj ect st o assi gnear nedval ue? A.t he0/100t ec hni que B.75/25t ec hni que C.mi l es t onet ec hni que D.50/50t ec hni que

98. Whi chf act ori sconsi der edasi mpor t anti nSDLC? A.s c hedul e B.c os t C.t i me D.ear nedv al ue

99. Cont r olofchangesanddocument at i on i st her esponsi bi l i t yof t he__ _ __ __ __ _ _ A.c onfigur at i onl i br ar i an B.pr oj ec tmanager C.r evi ewe r D.deve l oper

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101. St akehol der si nt hepr oj ectar ei dent i fiedandcommuni cat i ons channel sar eest abl i shedby? A.Feedbac k B.Syst e m St udy C.Requi r e me nt D.Pr oj ec tScopeandObj ect i v es

102. Themember soft hegr oupgett oknow each ot herandt r yt oset upsomegr oundr ul esaboutbehavi or s_ __ _ __ __ __ _ A.For mi ng B.St or mi ng C.Nor mi ng ...


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