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Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q106-Q111):

NEW QUESTION # 106
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called_______.

A. pyProbabilityB. pyPropensityC. pyBehaviorD. pyLikelihood

Answer: C

Explanation:
Explanation
The likelihood that a proposition will be accepted by the customer is stored in the strategy property called pyBehavior. This property is calculated by an adaptive model or a predictive model and reflects the customer's propensity to respond to an offer. References:
https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/using-predictio

NEW QUESTION # 107
Predictive Analytics is a________________

A. query, reporting and a search toolB. science concerned with finding repeatable patterns inC. real time predictive dashboardD. method of visualizing our data___________________

Answer: B

Explanation:
Explanation
Predictive analytics is a branch of data science that uses statistical techniques and machine learning algorithms to find repeatable patterns in data and make predictions about future outcomes or behaviors. References:
https://academy.pega.com/module/predictive-analytics/topic/predictive-analytics-overview

NEW QUESTION # 108
Which statement about Pega AI is correct?

A. Pega AI is primarily based on self-learning modelsB. Pega AI is primarily based on models newly build in Prediction StudioC. Pega AI is restricted to models newly build in Prediction StudioD. Pega AI is restricted to self-learning models

Answer: A

Explanation:
Explanation
Pega AI is primarily based on self-learning models Reference:
Pega AI is primarily based on self-learning models

NEW QUESTION # 109
When building a predictive model, what is a valid predictor data type?

A. CharacterB. BooleanC. SymbolicD. String

Answer: B

Explanation:
Explanation
When building a predictive model, a valid predictor data type is Boolean, which can have only two values:
true or false. Other valid predictor data types are numeric, date, and symbolic (categorical). References:
https://academy.pega.com/module/predictive-analytics/topic/predictor-data-types

NEW QUESTION # 110
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. Adaptive models require a historical data set to start learningB. Adaptive models perform a continuous model calculationC. Adaptive models perform a binary model calculationD. Adaptive models require underlying predictive models

Answer: C

Explanation:
Explanation
Adaptive models perform a binary model calculation. This means that adaptive models predict the likelihood of a positive or negative response for each action and customer profile. Adaptive models do not require underlying predictive models or historical data sets to start learning. They learn from customer responses in real time and continuously update their predictions. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

NEW QUESTION # 111
......

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