When defining outcomes for an Adaptive Model you must define
Answer(s): C
When defining outcomes for an adaptive model, you must define one or more positive behavior values, which indicate that the customer accepted or responded to the offer. You can also define negative and neutral behavior values, but they are optional.
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data- archived/topic/configuring-adaptive-models
A company wants to simulate decisions that requires large amounts of dat
Answer(s): B
The Monte Carlo method enables the company to generate data that simulates customer behavior and can be used as input for adaptive decisioning. The generated data is based on predefined probabilities and distributions that reflect realistic scenarios.
https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating- monte-carlo-data-set
Which decision component allows you to monitor the real-time performance of a third- party ChurnModel?
Answer(s): A
A scorecard model is a type of predictive model that allows you to monitor the real-time performance of a third-party churn model. A scorecard model compares the predicted churn probability with the actual churn outcome and calculates a performance score for each customer segment.
https://academy.pega.com/module/predictive-analytics/topic/using-scorecard- models
A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?
The Monte Carlo method is a way to create a data set that includes mock-up customer data. You can use this method to generate random values for customer properties, such as age, gender, income, etc., based on predefined probabilities and distributions.
A telecom company is interested in improving customer engagement on social medi
A text categorization model is a type of text analytics model that can analyze the incoming messages and assign them to predefined categories, such as positive, negative, or neutral sentiment. This way, CSRs can focus on negative messages that require immediate attention or escalation.
https://academy.pega.com/module/text-analytics/topic/creating-text-categorization-model
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