DownloadthelatestPCDSCertificationPEGACPDS88V1dumpsforyourbestpreparation
1.AScoringModelallowsyoutodifferentiatebetween AAccept,Reject,MaybeLater
B.Good,Bad
CGood,Better,Best
DGood,Bad,Unknown
Answer:C
Explanation:
AscoringmodelallowsyoutodifferentiatebetweenGood,Better,andBestoutcomesforagiven propositionoractionAscoringmodelassignsanumericalvaluetoeachoutcomebasedonitsdesirability orprofitabilityforthebusiness
References:https://academypegacom/module/predictive-analytics/topic/using-scoring-models
2Asadatascientist,youhaveenabledcapturingofhistoricaldatainanadaptivemodel
Whichtwodataelementsarecapturedforeverycustomerinteraction?(ChooseTwo)
AThevalueofonlytheactivepredictors
B.Theoutcomeoftheinteraction
CThemodelmetadata
D.Thepropensitygeneratedbythemodel
EThevalueofallpredictors
Answer:B,E
Explanation:
Whencapturinghistoricaldatainanadaptivemodel,theoutcomeoftheinteractionandthevalueofall predictorsarecapturedforeverycustomerinteraction
3Whatisthedifferencebetweenpredictiveandadaptiveanalytics?
APredictivemodelscanpredictacontinuousvalue
BPredictivemodelspredictcustomerbehavior
CAdaptivemodelsusethecustomerdataaspredict*
D.Predictivemodelshaveevidence.
Answer:C
Explanation:
Thedifferencebetweenpredictiveandadaptiveanalyticsisthatadaptivemodelsusethecustomerdata aspredictors,whilepredictivemodelsusethecustomerdataasoutcomes.Adaptivemodelslearnfrom real-timecustomerinteractionsandupdatetheirpredictionsaccordinglyPredictivemodelsusehistorical customerdatatotrainandvalidatetheirpredictions.
References:
https://academypegacom/module/predicting-customer-behavior-using-real-time-data-archived/topic/ada ptive-models-overview
4Theoutcomeofascoringmodelindicatesthelikely
Awrite-offvalueofanarrearscase
Bclaimvalueofahealthinsurance
Cperiodinwhichaspareparthastobereplaced Dresponsetoanoffer
DownloadthelatestPCDSCertificationPEGACPDS88V1dumpsforyourbestpreparation
Answer:D
Explanation:
Theoutcomeofascoringmodelindicatesthelikelyresponsetoanofferthatispresentedtoacustomer. Forexample,ascoringmodelcanpredictifacustomerwillaccept,reject,ordeferanofferforacredit cardupgrade
References:https://academypegacom/module/predictive-analytics/topic/using-scoring-models
5Thestandardizedmachinelearningprocess(MLOps)letsyoureplacealow-performingpredictive modelthatdrivesapredictionwithanupdatedmodelWhenyouapprovethemodel,achangerequestis automaticallygeneratedin
Athebusinessoperationsenvironment
B.anexternalenvironment
Ctheproductionenvironment
Answer:C
Explanation:
Whenyouapprovetheupdatedmodelinthestandardizedmachinelearningprocess(MLOps),achange requestisautomaticallygeneratedintheproductionenvironment
6Whatisthekeydifferencebetweenapredictivemodelandahumanexpert?
APredictivemodelsalwaysoutperformhumanexperts
BHumansarebetteratdealingwithstructureddataandidentifyingpatterns
CPredictivemodelsaremorecapableofdetectingpatternsinhistoricaldata
DHumansmakesuccessfulpredictionsonalargeamountofdata
Answer:B
7Asadatascientist,youaretaskedwithconfiguringtwopredictionsthataredrivenbyanadaptivemodel: oneforaninboundchannelandoneforanoutboundchannel
Towhichsettingdoyouneedtopayextraattention?
A.Responsetimeout
BAdaptivemodel
C.Predictorfields
DControlgroup
Answer:B
Explanation:
Asadatascientist,ifyouaretaskedwithconfiguringtwopredictionsthataredrivenbyanadaptivemodel, youneedtopayextraattentiontoadaptivemodelsettings
8U+TelecomwantstoengageinproactiveretentiontoreducechurnAsadatascientist,youcreatea predictionthatcalculatestheprobabilitythataclientislikelytocancelasubscription
Whattypeofpredictiondoyoucreate?
ACasemanagement
BCustomerDecisionHub
CTextanalytics
Answer:B
DownloadthelatestPCDSCertificationPEGACPDS88V1dumpsforyourbestpreparation
Explanation:
Asadatascientist,youcreateapredictionthatcalculatestheprobabilitythataclientislikelytocancela subscription.ThetypeofpredictionyoucreateisCustomerDecisionHub.
9Whichcomponent(s)doyouusetocalculatetheaveragemarginoffouractions?
AoneSetPropertycomponent
BoneGroupBycomponent
CfourGroupBycomponents
DfourSetPropertycomponents
Answer:A
Explanation:
YoucanuseoneSetPropertycomponenttocalculatetheaveragemarginoffouractionsbyusingan expressionthatsumsupthemarginvaluesofeachactionanddividesbyfourYoucanthenusethis propertyinothercomponents,suchasFilterorPrioritize.
References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/setting -properties
10Anadaptiveadaptivemodelcomponentinadecision:propensity,performance,evidence,and positives
Whatisevidenceinthecontextofanadaptivemodel?
AThelikelihoodofastatisticallysimilarbehavior
BThenumberofcustomerswhoexhibitedstatisticallysimilarbehavior
CThenumberofstatisticalbinsthatarcgeneratedbythesystem
DThenumberofoutcomesthatsystemregistered
Answer:B
Explanation:
EvidenceisthenumberofcustomerswhoexhibitedstatisticallysimilarbehaviorItindicateshowmuch datathemodelhascollectedforagivenpredictorprofile.Thehighertheevidence,themorereliablethe modelis
References:
https://communitypegacom/sites/default/files/helpv82/procomhelpmainhtm#rule-/rule-decision-/rule-de cision-adaptivemodel/main.htm
11.YouaretheDecisioningConsultantonanAl-poweredone-to-oneCustomerEngagement implementationprojectYouareaskedtodesigntheNext-Best-Actionprioritizationexpressionthat balancesthecustomerneedswiththebusinessobjectives
Whatfactorsdoyouconsiderintheprioritizationexpression?
Aproducteligibilityrules
Bcustomercontactrules
Cproductcompatibilityrules
Dbusinesslevers
Answer:D
Explanation:
DownloadthelatestPCDSCertificationPEGACPDS88V1dumpsforyourbestpreparation
Businessleversarefactorsthatyouconsiderintheprioritizationexpressiontobalancethecustomer needswiththebusinessobjectivesTheycanincluderevenue,cost,risk,retention,satisfaction,orany othercustommetricthatreflectsthevalueofanaction.
References:
https://academypegacom/module/creating-and-understanding-decision-strategies-archived/topic/usingbusiness-levers
12Whattypeofapredictorcanyouuseinanadaptivemodel?
ASymbolic
BInteger
CPageType
D.Logical
Answer:A
Explanation:
Inanadaptivemodel,youcanuseSymbolicpredictors
13Anonlinestoreisinterestedinincreasingitsrevenuesfromcross-sellingandwantstopredictthe acceptancerateoftheofferspresentedontheirwebsite.Acustomer'spropensitytoacceptanoffer increaseswhen
ASimilarofferswererejectedbythecustomer
BTheofferwasrejectedbysimilarcustomers
CSimilarofferswereacceptedbythecustomer
DTheofferwasacceptedbysimilarcustomers
Answer:C
Explanation:
Thisisbecauseacustomer’spropensitytoacceptanofferdependsontheirpastbehaviorand preferencesIfacustomerhasacceptedsimilaroffersinthepast,theyaremorelikelytoacceptanew offerthatmatchestheirinterests
https://academy.pega.com/sites/default/files/media/documents/2020-12/Mission20301-2-EN-StudentGuid epdf
14WhenimplementingaNext-Best-Actionproject,whichstepisrecommendedtobetakenfirst?
A.DefineIssueandGrouphierarchy
BDefinepropositions
C.Definebusinessrules
DDefineprioritizationformula
Answer:A
Explanation:
WhenimplementingaNext-Best-Actionproject,therecommendedfirststepistodefineIssueandGroup hierarchy,whichareusedtoorganizeandcategorizepropositionsbasedonbusinessobjectivesand customerneedsThisstephelpstoaligntheprojectwiththebusinessvisionandgoals
References:
https://academypegacom/module/one-one-customer-engagement/topic/next-best-action-designer
15.U+InsuranceusesPegaProcessAI™toassessthecomplexityoftheclaimsandrouteaclaimtothe best-suiteduserInthecasetypethathandlesclaims,theapplicationdeveloperwantstouseAItoroute claimsthatarelikelytomisstheirdeadlinetoanexpert.Asadatascientist,whattaskdoyoufirstperform toallowtheapplicationdevelopertoreferencetheAIoutputinthecasetype?
ACreateapredictivemodel
BAddadecisionsteptothecasetype
CConfigureanadaptivemodeltodrivetheprediction
DCreateaprediction
Answer:D
Explanation:
touseAItorouteclaimsthatarelikelytomisstheirdeadlinetoanexpert,youneedtocreateaprediction Apredictionisadecisionmanagementcomponentthatyoucanreferenceinacasetype.Aprediction usesapredictivemodeloranadaptivemodeltocalculateaprobabilityorascoreforaspecificoutcome https://academy.pega.com/topic/process-ai-predictions/v1
16.Inastrategydefinedinthe"Retension"issueandthe"X-Sell"group,youcanimport
AActionsfromallgroupsunderthe"Retention"issue
B.Actionsfrom"X-Sell"group
CActionsfromthe"Sales"issue
DAllactiveactions
Answer:A
Explanation:
AccordingtothePegaAcademy1,astrategyisaunitofreasoningthatdefineshowtoselectanactionfor acustomerAstrategycanbedefinedindifferentissuesandgroups,whicharecategoriesthathelp organizeactionsAnissuerepresentsabusinessgoal(suchasretentionorsales),andagroup representsasubcategoryofanissue(suchascross-sellorup-sell)
Inastrategydefinedinthe“Retention”issueandthe“X-Sell”group,youcanimportactionsfromall groupsunderthe“Retention”issue1Thisallowsyoutouseactionsthatarerelevanttoyourbusiness goalandcomparethemwithotheractionsinthesameissue.
17.U+BankpromotescreditcardoffersonitswebsiteandusesPegaCustomerDecisionHubto personalizetheofferforeverycustomerNow,thebankwantstolowerthenumberofcustomersthat leavethebankbyshowingaproactiveretentionoffertohighchurnriskcustomersinstead.AsanNBA analyst,youaretaskedwithcreatinganewapplicabilitysettingtocomplywiththenewbusinessrule Whichbusinessissueorissuesdoyoumodify?
ATheRetentionissue
BTheSalesissue
CTheSalesissueandtheRetentionissue
DNomodificationisrequired
Answer:A
Explanation:
Tocomplywiththenewbusinessruleofshowingaproactiveretentionoffertohighchurnriskcustomers, youshouldmodifytheRetentionissue