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Pegasystems Certified Pega Data Scientist (PEGACPDS88V1) certification exam is designed to validate a candidate's proficiency in using Pega's predictive analytics tools and techniques. Certified Pega Data Scientist 88V1 certification exam is aimed at individuals who have a strong understanding of data science principles and techniques and have experience using Pega's tools to build predictive models. Certified Pega Data Scientist 88V1 certification exam is recognized by Pega and is a valuable credential for individuals seeking to advance their careers in data science.

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Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q99-Q104):

NEW QUESTION # 99
The result of a Predictive Model is stored in a property called__________.

• A. pyOutcome
• B. pyPrediction
• C. pxResult
• D. pxSegment

Answer: D

NEW QUESTION # 100
Which statement about predictive models is true?

• A. They need to be specified in a data attribute.
• B. They are always associated with a proposition.
• C. You need past experience to create a predictive model.
• D. They need unstructured big data.

Answer: C

NEW QUESTION # 101
To predict if a customer is likely to churn you use a model of type

• A. champion challenger
• B. decision table
• C. decision tree
• D. switch

Answer: C

Explanation:
Explanation
To predict if a customer is likely to churn, you use a model of type decision tree. A decision tree is a type of predictive model that uses a set of rules to classify customers into different categories based on their attributes and behavior. A decision tree can predict a binary outcome (such as churn or not churn) or a multi-class outcome (such as low risk, medium risk, or high risk). References:
https://academy.pega.com/module/predictive-analytics/topic/using-decision-tree-models

NEW QUESTION # 102
To measure the boost in success rate AI generates, you need

• A. a control action that is offered to random customers
• B. a control group of customers that receive a random action
• C. a control group of customers that receive a standard action
• D. a control action that is offered to a fixed group of customers

Answer: A

Explanation:
Explanation
To measure the boost in success rate AI generates, you need a control action that is offered to random customers.

NEW QUESTION # 103
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 perform a continuous model calculation
• B. Adaptive models perform a binary model calculation
• C. Adaptive models require underlying predictive models
• D. Adaptive models require a historical data set to start learning

Answer: B

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 # 104
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