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PEGACPDS88V1
Certified Pega Data Scientist 8.8 Questions and Answers

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Questions # 11:

Which statement best describes the goal of Next-Best-Action?

Options:

Ensure that the customer is always given a desirable offer

Balance customer needs with business objectives

Ensure that every customer receives the same action

Provide insight into business processes

Answer

Explanation

Balance customer needs with business objectives Reference:

The goal of Next-Best-Action is to balance customer needs with business objectives.

Questions # 12:

Configuring an adaptive model involves selecting the potential predictors. How many potential predictors are recommended for an adaptive model?

Options:

At least 100 fields to reach an acceptable level of model performance

All fields that have been predictive in the past

All available uncorrected fields

Up to 100 fields to limit the impact on model speed

Answer

Explanation

Up to 100 fields to limit the impact on model speed Reference:

When configuring an adaptive model, it is recommended to select up to 100 potential predictors to limit the impact on model speed.

Questions # 13:

Evidence an assessment of its viability, the Adaptive Model produces three outputs: Propensity, Performance and what is evidence in the context of an Adaptive Model? Performance and what is evidence in the context of an Adaptive Model?

Options:

The likelihood of a statistically similar behavior

The number of customers who exhibited statistically similar behavior

The number of customers who have responded to the modeled offer

The number of statistical bins used to evaluate the response

Answer

Explanation

Evidence is the number of customers who exhibited statistically similar behavior to the current customer and responded to the modeled offer. It indicates how reliable the propensity score is based on the available data. References: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-overview

Questions # 14:

A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy. What is the minimum number of Proposition Data components he needs to use in his strategy?

Options:

one

twelve

three

two

Answer

Explanation

If a strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group and would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy, the minimum number of Proposition Data components he needs to use in his strategy is three.

Questions # 15:

Pega Decision Management enables organizations to make next-best-action decisions.

To which types of decisions can next-best-action be applied?

Options:

Determining how to optimize the product portfolio to increase market share

Determining why response rates for a campaign in one region are below average

Determining the cause of a customer's problem

Determining which banner to show on a web site to increase click rate

Answer

Explanation

Pega Process AI™ lets you bring your own predictive models to Pega and use predictions in case types to optimize the way your application processes work and meet your business goals.

To use the outcome of a predictive fraud model in the case type that processes the incoming claim, you need to use the model outcome in the condition of a decision step2. This way, you can route suspicious claims to a fraud expert for closer inspection based on the model’s prediction.

Questions # 16:

As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner. What type of prediction do you need to create in Prediction studio?

Options:

Adaptive prediction

Case management

Customer Decision Hub

Text analysis

Answer

Explanation

Customer Decision Hub Reference:

To optimize the click-through rate of a web banner, you need to create a Customer Decision Hub prediction.

Questions # 17:

The standardized model operations process (MLOps) lets you replace a low-performing predictive model that drives a prediction with a new one.

Which feature of MLOps lets you monitor the new model in the production environment without affecting the business outcomes?

Options:

Change request

Shadow mode

Historical data capture

Connection to machine learning services

Answer

Explanation

This is because shadow mode allows you to test a new model in parallel with an existing model without affecting the decision outcomes. You can compare the performance of both models and decide whether to replace or keep the existing model.

https://academy.pega.com/sites/default/files/media/documents/2020-12/Mission20301-2-EN-StudentGuide.pdf

Questions # 18:

You can use various data types in adaptive analytics. Some of these require preprocessing before being used as a potential predictor. Others can be used directly. Which two data types require no preprocessing? (Choose Two)

Options:

Text data such as Twitter messages

Dates with absolute time/date values, such as birthdays

Event stream data, such as recent transactions

Symbolic data with up to 200 distinct values, such as products bought previously

Numeric data such as customer age and income

Answer

B, E

Explanation

Dates with absolute time/date values, such as birthdays and Numeric data such as customer age and income Reference:

Dates with absolute time/date values, such as birthdays and Numeric data such as customer age and income require no preprocessing before being used as potential predictors in adaptive analytics.

Questions # 19:

Adaptive model components can output__________

Options:

An option___________

An optimized strategy

The number of customer's eligible for an action

The customer's propensity to accept an action

Answer

Explanation

Adaptive model components can output the customer’s propensity to accept an action. Propensity is the likelihood of a positive response for a given action and predictor profile. It ranges from 0 to 100. References: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-adaptivemodel/main.htm

Questions # 20:

U+ Bank, a retail bank, offers the Standard card, the Rewards card and the Rewards Plus card to its customers. The bank wants to display the banner for the offer that each customer is most likely to click; therefore, their Arbitration uses Propensity from the AI models. If you are debugging the Next-Best-Action decision strategy, which strategy component will show you if the result of the Arbitration is correct?

Options:

Filter

Group By

Set Property

Prioritize

Answer

Explanation

If you are debugging the Next-Best-Action decision strategy and want to see if the result of the Arbitration is correct, you should use the Prioritize strategy component.

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