Questions for the PEGACPDS88V1 were updated on : Dec 01 ,2025
U+ Bank introduces a new credit card that has no historical customer behavior dat
a. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which
rule type must you use?
C
Explanation:
Given the scenario where U+ Bank introduces a new credit card that has no historical customer
behavior data and wants to offer this credit card on the personalized web portal, you must use
an adaptive model.
The Pega Customer Decision Hub™ delivers Next-Best-Actions consistently through multiple
channels. To which of the following channels does this apply?
C
Explanation:
The Pega Customer Decision Hub™ delivers Next-Best-Actions consistently through multiple
channels. This applies to Mobile channels.
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?
C
Explanation:
In Customer Decision Hub™, the factor in the arbitration formula that is calculated by using AI
is Propensity.
When developing a predictive model, the outcome value of a continuous model type can
represent__________________
D
Explanation:
When developing a predictive model, the outcome value of a continuous model type can
represent the purchase value of an offer.
Model transparency is becoming an important requirement for many businesses. In Prediction
Studio, model transparency thresholds can be set for
B
Explanation:
In Prediction Studio, model transparency thresholds can be set for a model.
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?
A
Explanation:
As a data scientist, a valid reason to adjust the default response timeout in a prediction is to suit the
use case.
Using Prediction Studio to build Pega machine learning models on historical data, you can build two
types of models:____________and____________.
(Choose Two)
C,D
Explanation:
Using Prediction Studio to build Pega machine learning models on historical data, you can build two
types of models: binary models and adaptive models.
A company wants to capture the sentiment of messages to allow its customer service representatives
to focus on only the negative messages. Sentiment refers to the general attitude of the author
towards a subject and can be________________
C
Explanation:
Sentiment refers to the general attitude of the author towards a subject and can be negative.
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?
D
Explanation:
One of the types of analysis that occurs during natural language processing is Semantic analysis.
Predictions combine predictive analytics and best practices in data science. Which two best practices
are included in Pega Customer Decision Hub™ predictions? (Choose Two)
B,C
Explanation:
Predictions combine predictive analytics and best practices in data science. Two best practices
included in Pega Customer Decision Hub™ predictions are using a control group and selecting the
model with the highest performance.
What type of a predictor can you use in an adaptive model?
A
Explanation:
In an adaptive model, you can use Symbolic predictors.
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?
D
Explanation:
Pega Customer Decision Hub™ uses the PCV*L arbitration formula to select the next best action for
each customer. The purpose of the formula is to balance customer needs with business objectives.
U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a
prediction that calculates the probability that a client is likely to cancel a subscription. What type of
prediction do you create?
B
Explanation:
As a data scientist, you create a prediction that calculates the probability that a client is likely to
cancel a subscription. The type of prediction you create is Customer Decision Hub.
Prediction Studio supports keyword-based topic detection, model-based topic detection and the
combination of these. When using machine learning,
C
Explanation:
When using machine learning, the Must keywords function as positive features.
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___________
A
Explanation:
To identify emails that voice a complaint, the text prediction uses an entity extraction model.