Certified Pega Data Scientist 88V1
Last Update Mar 29, 2024
Total Questions : 140
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MyCo, a telecommunications company, wants to implement one-to-one customer engagement using Pega Customer Decision Hub™. Which three of the following real-time channels can the company use to present Next-Best-Actions? (Choose Three)
What are the most important aspects taken into consideration when determining the Next-Best-Action?
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called_______.
Pega Decision Management enables organizations to make next-best-action decisions.
To which types of decisions can next-best-action be applied?
An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website. A customer's propensity to accept an offer increases when_________.
.Prediction Studio supports keyword-based topic detection, model-based topic detection, or a combination of both. When using a text prediction based on machine learning with keywords configured,_________________.
When you build a decision strategy, what property do you use to access the output of a prediction that is driven by a predictive model markup language (PMML) model?
When building a predictive model, in which development step is the regression model created?
As a data scientist, you are tasked with creating a new prediction that estimates a customers' likelihood to leave the business in the near future. The NBA analyst wants to move forward and use the prediction in Pega Customer Decision Hub™ to test the application. To unblock the NBA specialist, which task do you prioritize?
The result of a Predictive Model is stored in a property called__________.
What two tasks does a system architect need to perform to export historical data? (Choose Two)
Which two factors do you inspect to assess the general health of the adaptive models in Prediction Studio? (Choose Two)
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?
The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a superior one.
When you place the new model in shadow mode in the production environment, the current model___________
In Prediction Studio, the key metrics of adaptive models are visualized in a bubble chart. What three key metrics are displayed in this chart? (Choose Three)
To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________