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Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?
TheSwitchcomponent allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%.
U+ Telecom uses predictive analytics in its retention strategy. You have created a predictive model based on recent historical company data and have placed the new model in shadow mode. Which statement is true about the new predictive model?
The new model does not affect business outcomes Reference:
When you place a new predictive model in shadow mode, it does not affect business outcomes.
U+ Insurance wants to use Pega Process Al to detect fraud and assign suspicious claims to a fraud expert for closer inspection.
To meet this requirement, how does an application developer use the outcome of a predictive fraud model in the case type that processes the incoming claim?
Pega Process AI lets you bring your own predictive models to Pega and use predictions in case types to optimize the way your application processes work and meet your business goals.
To use the outcome of a predictive fraud model in the case type that processes the incoming claim, you need to usethe model outcomeinthe condition of a decision step2. This way, you can route suspicious claims to a fraud expert for closer inspection based on the model's prediction.
Which statement about predictive models is true?
Predictive models need historical data to be created. Predictive models are statistical models that use historical data to learn patterns and trends and make predictions for future outcomes. Predictive models can be built with Pega machine learning or imported from third-party tools such as PMML or H2O. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-predictivemodel/main.htm
You can use various data types in adaptive analytics. Some of these require preprocessing before being used as a potential predictor. Others can be used directly. Which two data types require no preprocessing? (Choose Two)
Dates with absolute time/date values, such as birthdays and Numeric data such as customer age and income Reference:
Dates with absolute time/date values, such as birthdaysandNumeric data such as customer age and incomerequire no preprocessing before being used as potential predictors in adaptive analytics.
