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  • Exam Name: Certified Pega Data Scientist 8.8
  • Last Update: Nov 13, 2024
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PEGACPDS88V1 Practice Exam Questions with Answers Certified Pega Data Scientist 8.8 Certification

Question # 6

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?

A.

Presumptive analysis

B.

Intent analysis

C.

Subjective analysis

D.

Semantic analysis

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Question # 7

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?

A.

Change request

B.

Shadow mode

C.

Historical data capture

D.

Connection to machine learning services

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Question # 8

When building a model using Pega machine learning, the validation hold-out set is used to____________and to____________. (Choose Two)

A.

select the best model

B.

train the models_____________________

C.

check for robustness of candidate models

D.

compare their performance

E.

analyze the performance characteristics of candidate models

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Question # 9

For an Adaptive Model to react quickly to changes in customer behavior, the

A.

performance threshold should be set to a low number

B.

model must always evaluate all customer responses

C.

strategy must include the calculation for smooth propensity

D.

value of the memory setting should be set to a low number

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Question # 10

Which statement about Pega AI is correct?

A.

Pega AI is primarily based on models newly build in Prediction Studio

B.

Pega AI is restricted to models newly build in Prediction Studio

C.

Pega AI is restricted to self-learning models

D.

Pega AI is primarily based on self-learning models

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Question # 11

The standardized machine learning process (MLOps) lets you replace a low-performing predictive model that drives a prediction with an updated model. When you approve the model, a change request is automatically generated in__________

A.

the business operations environment

B.

an external environment

C.

the production environment

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Question # 12

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.

Suit the use case

B.

Optimize the success rate

C.

Increase lift

D.

Limit the number of responses

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Question # 13

Adaptive model components can output__________

A.

An option___________

B.

An optimized strategy

C.

The number of customer's eligible for an action

D.

The customer's propensity to accept an action

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Question # 14

When you create a decision strategy from scratch and want to associate an adaptive model with each action, you need to_______.

A.

Capture the customer's response

B.

Define the adaptive model instances in Adaptive Decision Manager

C.

Link all actions with an adaptive model decision component

D.

Create an adaptive model rule for each action

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Question # 15

To predict if a customer is likely to churn you use a model of type

A.

champion challenger

B.

decision tree

C.

switch

D.

decision table

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Question # 16

When building a predictive model, in which development step is the regression model created?

A.

Model Export

B.

Data Analysis

C.

Model Analysis

D.

Model Development

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Question # 17

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 binary model calculation

B.

Adaptive models require underlying predictive models

C.

Adaptive models require a historical data set to start learning

D.

Adaptive models perform a continuous model calculation

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Question # 18

The purpose of predictions is to______________

A.

build adaptive models

B.

monitor the success rate of individual actions

C.

add best data scientist practices to adaptive models

D.

add predictors to adaptive models

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Question # 19

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

A.

Ensure that the customer is always given a desirable offer

B.

Balance customer needs with business objectives

C.

Ensure that every customer receives the same action

D.

Provide insight into business processes

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Question # 20

A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts.

What is a taxonomy?

A.

A list of business rules

B.

The output of an expert survey

C.

A sentiment analysis model

D.

A list of valid categories

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Question # 21

It is highly recommended to leave the default settings of an adaptive model inchanged. Why is it important to follow this guideline?

A.

The settings are automatically adjusted during adaptive learning

B.

Using the default settings is based on best practices

C.

Changing the settings has no effect on model performance

D.

Changing the settings is not a task for a data scientist

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Question # 22

A Scoring Model allows you to differentiate between

A.

Accept, Reject, Maybe Later

B.

Good, Bad

C.

Good, Better, Best

D.

Good, Bad, Unknown

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Question # 23

From two churn models with the similar performance, we chose the one the_____

A.

Highest churn rate

B.

Highest number of predictors

C.

Most evidence

D.

Fewest number of predictors

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Question # 24

The Pega Customer Decision Hub™ delivers Next-Best-Actions consistently through multiple channels. To which of the following channels does this apply?

A.

Billboard

B.

Cable television

C.

Mobile

D.

Traditional newspaper

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Question # 25

What is the key difference between a predictive model and a human expert?

A.

Predictive models always outperform human experts.

B.

Humans are better at dealing with structured data and identifying patterns.

C.

Predictive models are more capable of detecting patterns in historical data.

D.

Humans make successful predictions on a large amount of data.

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Question # 26

In a predictive model rule, the predictors must be mapped to

A.

Strategy properties

B.

Customer properties

C.

Model properties

D.

Action properties

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Question # 27

Which adaptive model output is automatically mapped to a strategy property?

A.

Performance

B.

Score

C.

Propensity

D.

Evidence

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Question # 28

Predictions combine predictive analytics and best practices in data science. Which two best practices are included in Pega Customer Decision Hub™ predictions? (Choose Two)

A.

Setting the response timeout

B.

Using a control group

C.

Selecting the model with the highest performance

D.

Selecting the audience

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Question # 29

Pega Adaptive Models_________

A.

involve a significant human effort to develop

B.

require historical data_________________

C.

learn about customer behavior in real time

D.

can only be used in inbound channels

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Question # 30

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?

A.

Business levers

B.

Context weighing

C.

Propensity

D.

Action value

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Question # 31

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 every customer receives the same action

B.

To ensure that the customer is always given the best offer, regardless of the business objective

C.

To provide insight into business processes

D.

To balance customer needs with business objectives

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Question # 32

The implementation of Next-Best-Action must involve

A.

inclusion of third party predictive models

B.

defining business issue and group hierarchy

C.

defining a prioritization formula using contact policies

D.

building a product catalog

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Question # 33

When implementing Next-Best-Action, the Customer Lifetime Value Threshold is typically used to_________.

A.

prioritize high value propositions

B.

prioritize customers

C.

determine if the customer is eligible

D.

calculate the customer's lifetime value

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Question # 34

When developing a predictive model, the outcome value of a continuous model type can represent__________________

A.

customer churn

B.

acceptance of an offer

C.

customer loan default

D.

the purchase value of an offer

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Question # 35

Through analysis of customer lifecycles, Next-Best-Action

A.

anticipates retention issues

B.

provides future sales reports

C.

provides fulfillment services

D.

identifies global sales targets

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Question # 36

The result of a Predictive Model is stored in a property called__________.

A.

pyPrediction

B.

pxResult

C.

pyOutcome

D.

pxSegment

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Question # 37

Model transparency is becoming an important requirement for many businesses. In Prediction Studio, model transparency thresholds can be set for

A.

a model type

B.

a model

C.

a department

D.

a business issue

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Question # 38

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

A.

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

B.

All fields that have been predictive in the past

C.

All available uncorrected fields

D.

Up to 100 fields to limit the impact on model speed

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Question # 39

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

A.

Propensity

B.

Bayesian

C.

Monte Carlo

D.

Import

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Question # 40

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?

A.

Adaptive prediction

B.

Case management

C.

Customer Decision Hub

D.

Text analysis

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Question # 41

Lift is key metric for the performance of the adaptive models.

To measure lift, you need a____________

A.

Standard model as a benchmark

B.

Control group with random actions

C.

Control group with a new action

D.

New adaptive model

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Question # 42

Which component(s) do you use to calculate the average margin of four actions?

A.

one Set Property component

B.

one Group By component

C.

four Group By components

D.

four Set Property components

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