Free Certified Pega Data Scientist 8.8 Exam PEGACPDS88V1 Exam Practice Test

To measure the boost in success rate AI generates, you need

• a control action that is offered to random customers
• a control action that is offered to a fixed group of customers
• a control group of customers that receive a standard action
• a control group of customers that receive a random action

A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set. The Monte Carlo method

• enables the company to generate random data for most of its application needs
• generates data that the company can use as input for adaptive decisioning
• combines external data sets into a larger data set
• makes the organization's live data accessible

Acquiring new customers can be more costly than retaining active customers. U+ Bank uses Pega Customer Decision Hub for its customer engagement and wants to reduce the churn rate by identifying high churn risk customers and making them a retention offer.To meet this requirement, which two artifacts created by a data scientist allow the NBA specialist to implement the decision strategy? (Choose Two)

• A prediction
• A predictive model
• A control group
• An adaptive model

The likelihood that a proposition will be accepted by the customer is stored in the strategy property called .

• pyPropensity
• pyLikelihood
• pyProbability
• pyBehavior

Proactive retention is applicable when a customer is

• Initiating contact to churn
• A high value customer
• In a collections process
• Likely to churn

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?

• Suit the use case
• Optimize the success rate
• Increase lift
• Limit the number of responses

In a decision strategy, the Adaptive Model decision component belongs the

• Decision Analytics category
• Business Rules category
• Arbitration category
• Predictive Model category

To predict if a customer is likely to churn you use a model of type

• champion challenger
• decision tree
• switch
• decision table

An adaptive model instance is created when you

• Execute a strategy containing the adaptive model component
• Open the Adaptive model management landing page
• Restart the Adaptive Decision Manager Service
• Save the Adaptive model rule

To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is .

• 1-0
• null
• 0.5
• 0.0