Many companies already use third-part predictive models and want to reuse these assets in the Pega Decision Management tandscape.
Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?
A. Switch
B. Adaptive Model
C. Filter
D. Champion Challenger
A legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?
A. A list of valid categories
B. A sentiment analysis model
C. The output of an expert survey
D. A list of business rules
What is the key characteristic that Next-Best-Action must consider to satisfy customer needs?
A. Service
B. Fraud
C. Mobility
D. Relevancy
As a Data Scientist you want to use a predictive model to detect potential churn for a telco company. Which three options do you have? (Choose Three)
A. Import a third party PMML model
B. Use a Google ML model
C. Create a Text extraction model
D. Create an adaptive self-learning model
E. Use Pega machine learning to build a model
In a decision strategy, to import actions you use a(n)_____________________.
A. Offer data component
B. Data import component
C. Proposition data component
D. Import data component
Which data is usually not appropriate to be used as a predictor?
A. Customer zip code
B. Historical interaction data
C. Customer name
D. Usage data
A contact center application recommends three actions for a customer. The business team wants to know the possible ways in which these actions can be ordered so that the contact center agent can discuss one proposition at a time, starting from the top.
As a strategy designer, if you use a Prioritize component to order the actions, what are your options?
A. In a random order
B. In ascending or in descending order based on a numerical value
C. In the order in which they are displayed in the strategy canvas
D. In the order controlled by the contact center agent
A Text Analyzer performs natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports.
What type of text analysis does the text analyzer perform?
A. Word analysis
B. Word count
C. Classification
D. Cross reference analysis
You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives.
What factors do you consider in the prioritization expression?
A. product eligibility rules
B. customer contact rules
C. product compatibility rules
D. business levers
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___________________. .
A. similar offers were rejected by the customer
B. similar offers were accepted by the customer
C. the offer was rejected by similar customers
D. the offer was accepted by similar customers
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