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The PEGACPDS88V1 certification exam is a challenging test that requires a solid understanding of data science concepts and techniques. PEGACPDS88V1 exam consists of multiple-choice questions, scenario-based questions, and hands-on exercises that evaluate the candidate's ability to apply their knowledge to real-world problems. PEGACPDS88V1 exam is designed to test the candidate's ability to work with Pega's advanced analytics tools such as Pega Predictive Modeler, Adaptive Decision Manager, and Customer Decision Hub. Successful completion of the PEGACPDS88V1 certification exam validates the candidate's ability to develop, deploy, and manage predictive models using Pega's data science platform.

PEGACPDS88V1 Valid Study Plan

Quiz 2023 Pegasystems PEGACPDS88V1: Certified Pega Data Scientist 88V1 Authoritative Valid Study Plan

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The PEGACPDS88V1 certification exam is a highly sought-after credential in the data science industry. Certified Pega Data Scientist 88V1 certification exam is designed for data scientists who want to enhance their skills and knowledge in predictive analytics and data mining techniques. Certified Pega Data Scientist 88V1 certification is recognized by top companies across the globe that use Pega's platform for predictive analytics. Certified Pega Data Scientist 88V1 certification is an essential requirement for professionals who want to advance their career in the data science field.

Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q75-Q80):

NEW QUESTION # 75
Pega machine learning supports the creation of which two distinct types of predictive models? (Choose Two)

• A. Categorical
• B. Continuous
• C. Binary
• D. Numerical

Answer: A,C

Explanation:
Explanation
Pega machine learning supports the creation of two distinct types of predictive models: categorical and binary.
Categorical models predict the outcome of a variable that can have multiple values, such as product category or customer segment. Binary models predict the outcome of a variable that can have only two values, such as yes or no, accept or reject, etc. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

NEW QUESTION # 76
A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?

• A. Bayesian
• B. Propensity
• C. Import
• D. Monte Carlo

Answer: D

Explanation:
Explanation
The Monte Carlo method is a way to create a data set that includes mock-up customer data. You can use this method to generate random values for customer properties, such as age, gender, income, etc., based on predefined probabilities and distributions. References:
https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating-monte-carlo-data-set

NEW QUESTION # 77
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?

• A. To ensure that the customer is always given the best offer, regardless of the business objective
• B. To ensure that every customer receives the same action
• C. To balance customer needs with business objectives
• D. To provide insight into business processes

Answer: C

Explanation:
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.

NEW QUESTION # 78
What happens when you increase the performance threshold setting of an adaptive model rule?

• A. The number of active predictors may decrease
• B. The correlation threshold decreases
• C. The performance of the model is increased
• D. The number of active predictors increases

Answer: A

Explanation:
Explanation
When you increase the performance threshold setting of an adaptive model rule, the number of active predictors may decrease. The performance threshold is the minimum performance that a predictor must have to be included in the model. If you increase this value, some predictors may not meet the criteria and be excluded from the model. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

NEW QUESTION # 79
The decision components use on the strategy canvas can be individually configured.
Which function is available when configuring the Group By component?

• A. Multiply
• B. Count
• C. Divide
• D. True if Some

Answer: B

Explanation:
Explanation
According to the Pega Academy1, decision strategies drive the next best action and comprise a unit of reasoning represented by decision components. You use the Proposition Data component to import actions into a strategy canvas. The sequence of the components in the canvas determines which action is selected for a customer.
The Group By component2 is used to group a list of ranked items based on a field and retain only one element in each group. The function available when configuring the Group By component is Count2, which returns the number of elements in each group.

NEW QUESTION # 80
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