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A telecommunications company wants to apply text analysis to incoming emails to understand how satisfied its customers are with various products and services. That setup requires natural language processing (NLP) of the email texts. What is one of the types of analysis that occurs during natural language processing?
The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a new one.
Which feature of MLOps lets you monitor the new model in the production environment without affecting the business outcomes?
When building a model using Pega machine learning, the validation hold-out set is used to____________and to____________. (Choose Two)
For an Adaptive Model to react quickly to changes in customer behavior, the
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__________
Predictions combine predictive analytics and best practices in data science. As a data scientist, what is a valid reason to adjust the default response timeout in a prediction?
When you create a decision strategy from scratch and want to associate an adaptive model with each action, you need to_______.
When building a predictive model, in which development step is the regression model created?
A large online store uses Pega Customer Decision Hub to smoothly adapt to changing customer behavior. Adaptive models help accomplish this business objective as the models learn from customer responses.
Which statement about adaptive models is correct? s
A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?
It is highly recommended to leave the default settings of an adaptive model inchanged. Why is it important to follow this guideline?
From two churn models with the similar performance, we chose the one the_____
The Pega Customer Decision Hub™ delivers Next-Best-Actions consistently through multiple channels. To which of the following channels does this apply?
Which adaptive model output is automatically mapped to a strategy property?
Predictions combine predictive analytics and best practices in data science. Which two best practices are included in Pega Customer Decision Hub™ predictions? (Choose Two)
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?
Pega Customer Decision Hub™ uses the P*C*V*L arbitration formula to select the next best action for each customer. Which description best describes the purpose of the formula?
When implementing Next-Best-Action, the Customer Lifetime Value Threshold is typically used to_________.
When developing a predictive model, the outcome value of a continuous model type can represent__________________
The result of a Predictive Model is stored in a property called__________.
Model transparency is becoming an important requirement for many businesses. In Prediction Studio, model transparency thresholds can be set for
Configuring an adaptive model involves selecting the potential predictors. How many potential predictors are recommended for an adaptive model?
A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?
As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner. What type of prediction do you need to create in Prediction studio?
Lift is key metric for the performance of the adaptive models.
To measure lift, you need a____________
Which component(s) do you use to calculate the average margin of four actions?