Master Pegasystems PEGACPDS88V1 Exam with Reliable Practice Questions
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The standardized machine learning process (MLOps) lets you replace a low-performing predictive model that drives a prediction with an updated model. When you approve the model, a change request is automatically generated in__________
Correct : C
When you approve the updated model in the standardized machine learning process (MLOps), a change request is automatically generated inthe production environment.
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U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. What type of prediction do you create?
Correct : B
As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. The type of prediction you create isCustomer Decision Hub.
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Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models:____________and____________.
(Choose Two)
Correct : C, D
Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models:binary modelsandadaptive models.
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Model transparency is becoming an important requirement for many businesses. In Prediction Studio, model transparency thresholds can be set for
Correct : B
In Prediction Studio, model transparency thresholds can be set fora model.
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Customer Decision Hub uses the P*C*V*L arbitration formula to select the next best action for each customer. Which factor in the arbitration formula is calculated by using AI?
Correct : C
In Customer Decision Hub, the factor in the arbitration formula that is calculated by using AI isPropensity.
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