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<br>ITDumpsKRuc758Pegasystems PEGACPDS88V1uc778uc99duc2dcud5d8uc758 uc790ub8cc uba54ub274uc5d0ub294Pegasystems PEGACPDS88V1uc778uc99duc2dcud5d8uc2e4uae30uc640Pegasystems PEGACPDS88V1uc778uc99duc2dcud5d8 ubb38uc81cuc9d1uc73cub85c ub098ub204uc5b4uc838 uc788uc2b5ub2c8ub2e4.uc6b0ub9ac uc0acuc774ud2b8uc5d0uc11c uad00ub828ub41c ud559uc2b5uac00uc774ub4dcub97c ub9ccub098ubcf4uc2e4 uc218 uc788uc2b5ub2c8ub2e4. uc6b0ub9ac ITDumpsKRuc758Pegasystems PEGACPDS88V1uc778uc99duc2dcud5d8uc790ub8ccub97c uc790uc138ud788 ubcf4uc2dcuba74 uc81cuc77c uc54cub9deuace0 ubcf4uc7a5ub3c4uac00 ub192uc73cuba70 ub610ud55c uc81cuc77c uc804uba74uc801uc778 uac83uc744 ub290ub07cuac8c ub420 uac83uc785ub2c8ub2e4.<br>Pegasystems PEGACPDS88V1uc778uc99duc2dcud5d8ud328uc2a4uc5d0ub294 ub9ceuc740 ubc29ubc95uc774 uc788uc2b5ub2c8ub2e4. uba3cuc800 ub9ceuc740 uc2dcuac04uc744 ud22cuc790ud558uace0 uc2e0uacbduc744 uc368uc11c uc804ubb38uc801uc73cub85c uacfcub828 uc9c0uc2dduc744 ud130ub4ddud55cub2e4uac70ub098; uc544ub2c8uba74 uc801uc740 uc2dcuac04ud22cuc790uc640 uc801uc740 ub3c8uc744 ub4e4uc5ec ITDumpsKRuc758 uc778uc99duc2dcud5d8ub364ud504ub97c uad6cub9e4ud558ub294 ubc29ubc95 ub4f1uc774 uc788uc2b5ub2c8ub2e4.<br>>> Pegasystems PEGACPDS88V1ucd5cuc2e0 uc5c5ub370uc774ud2b8 ub364ud504uacf5ubd80 <<<br>PEGACPDS88V1ucd5cuc2e0 uc5c5ub370uc774ud2b8 ub364ud504uacf5ubd80 uc644ubcbdud55c ub364ud504uc0d8ud50cubb38uc81c<br>ub9ceuc740 uc0acuc774ud2b8uc5d0uc11cub3c4 ubb34ub8ccPegasystems PEGACPDS88V1ub364ud504ub370ubaa8ub97c uc81cuacf5ud569ub2c8ub2e4. uc6b0ub9acub3c4 ub9c8ucc2cuac00uc9c0uc785ub2c8ub2e4. uc5ecub7ecubd84uc740 uadf8ub7ecud55cPegasystems PEGACPDS88V1ub370ubaa8ub4e4uc744 ubcf4uc2dcuace0 ub2e4uc2dc uc6b0ub9acuc758 ub364ud504uc640 ube44uad50ud558uc2dcuba74, uc6b0ub9acuc758 ub364ud504ub294 ub2e4ub978 uc0acuc774ud2b8ub364ud504uc640 ucc28uc6d0uc774 ub2e4ub978 ub364ud504uc784uc744 uc544uc0acub420 uac83 uc785ub2c8ub2e4. uc6b0ub9ac ITDumpsKRuc0acuc774ud2b8uc5d0uc11c uc81cuacf5ub418ub294Pegasystemsuc778uc99dPEGACPDS88V1uc2dcud5d8ub364ud504uc758 uc77cubd80ubd84uc778 ub370ubaa8 uc989 ubb38uc81cuc640 ub2f5uc744 ub2e4uc6b4ubc1buc73cuc154uc11c uccb4ud5d8ud574ubcf4uba74 uc6b0ub9acITDumpsKRuc5d0 ubbffuc74cuc774 uac08 uac83uc785ub2c8ub2e4. uc65cub0d0uba74 uc6b0ub9ac ITDumpsKRuc5d0ub294 ubca0ud130ub791uc758 uc804ubb38uac00ub4e4ub85c uc774ub8e8uc5b4uc9c4 uc5f0uad6cud300uc774 uc787uc2b5ub2c8ub2e4, uadf8ub4e4uc740 ituc9c0uc2dduacfc ud48dubd80ud55c uacbdud5d8uc73cub85c uc5ecub7ec uac00uc9c0 uc5ecub7ecubd84uc774Pegasystemsuc778uc99dPEGACPDS88V1uc2dcud5d8uc744 ud328uc2a4ud560 uc218 uc788uc744 uc790ub8cc ub4f1uc744 ub9ccub4e4uc5c8uc2b5ub2c8ub2e4 uc5ecub7ecubd84uc774Pegasystemsuc778uc99dPEGACPDS88V1uc2dcud5d8uc5d0 ub9ceuc740 ub3c4uc6c0uc774Pegasystems PEGACPDS88V1ub420 uac83uc785ub2c8ub2e4. ITDumpsKR uac00 uc81cuacf5ud558ub294PEGACPDS88V1ud14cuc2a4ud2b8ubc84uc804uacfc ubb38uc81cuc9d1uc740 ubaa8ub450Pegasystems PEGACPDS88V1uc778uc99duc2dcud5d8uc5d0 ub300ud558uc5ec ucda9ubd84ud55c uc5f0uad6c ub05duc5d0 ub9ccub4e0 uac83uc774uae30uc5d0 ubb34uc870uac74 ud55cubc88uc5d0Pegasystems PEGACPDS88V1uc2dcud5d8uc744 ud328uc2a4ud558uc2e4 uc218 uc788uc2b5ub2c8ub2e4. ub54cubb38uc5d0Pegasystems PEGACPDS88V1ub364ud504uc758 uc778uae30ub294 ub2f9uc5f0ud788 uc9f1 uc785ub2c8ub2e4.<br>ucd5cuc2e0 Pega PCDS PEGACPDS88V1 ubb34ub8ccuc0d8ud50cubb38uc81c (Q62-Q67):<br>uc9c8ubb38 # 62 Adaptive models can start to learn without historical evidence. What is the starting propensity of every action?<br>A. 0<br>B. 1<br>C. 2<br>D. 0.5<br>uc815ub2f5uff1aD<br>uc124uba85uff1aExplanationAdaptive models can start to learn without historical evidence. The starting propensity of every action is 0.5.<br>uc9c8ubb38 # 63 Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?<br>A. Adaptive Model<br>B. Switch<br>C. Filter<br>D. Champion Challenger<br>uc815ub2f5uff1aB<br>uc124uba85uff1aExplanationThe Switch component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%.<br>uc9c8ubb38 # 64 When building a model using Pega machine learning, the validation hold-out set is used to____________and to____________. (Choose Two)<br>A. check for robustness of candidate models<br>B. compare their performance<br>C. analyze the performance characteristics of candidate models<br>D. train the models_____________________<br>E. select the best model<br>uc815ub2f5uff1aA,D<br>uc124uba85uff1aExplanationWhen building a model using Pega machine learning, the validation hold-out set is used to train the models and to check for robustness of candidate models.<br>uc9c8ubb38 # 65 The management team at U Insurance wants to improve the experience of dissatisfied customers. The customers send the feedback through email.To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio?<br>A. Sentiment detection does not require any predictions.<br>B. Text analytics prediction.<br>C. Pega Customer Decision Hub prediction.<br>D. Case management prediction.<br>uc815ub2f5uff1aB<br>uc124uba85uff1aExplanationTo detect the sentiment of the incoming emails, you need to configure a text analytics prediction1234 in Prediction Studio. A text analytics prediction is a type of prediction that uses natural language processing (NLP) to analyze text data and extract insights, such as topics, entities, and sentiments. You can use a text analytics prediction to detect the sentiment of an email based on its content and assign a score ranging from -1 (negative) to 1 (positive). This can help you improve the customer experience by identifying dissatisfied customers and taking appropriate actions.<br>uc9c8ubb38 # 66 Model transparency is becoming an important requirement for many businesses. 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