Pegasystems PEGACPDS88V1 Exam Dumps - Tips To Study Quickly And Effectively

Pegasystems PEGACPDS88V1 Exam Dumps – Tips To Study Quickly And Effectively

Jonnie Karnath2023-05-25T06:37:12+00:00

Certified Pega Data Scientist 8.8 exam can be stressful, especially if you are not well-prepared for them. The Pegasystems PEGACPDS88V1 exam is no exception. However, with the right study materials and techniques, you can pass the exam with flying colors. Certspots Pegasystems PEGACPDS88V1 Exam Dumps are designed to help you prepare for the certification exam in the shortest possible time. They contain real exam questions and answers, which are updated regularly to reflect any changes in the exam syllabus. By using Certspots Pegasystems PEGACPDS88V1 Exam Dumps, you can get a feel of the actual exam and learn how to answer the questions within the given time limit.

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1. It is highly recommended to leave the default settings of an adaptive model inchanged.

Why is it important to follow this guideline?

The settings are automatically adjusted during adaptive learning

Using the default settings is based on best practices

Changing the settings has no effect on model performance

Changing the settings is not a task for a data scientist

2. To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is_________.

1-0

null

0.5

0.0

3. An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website. A customer's propensity to accept an offer increases when_________.

Similar offers were rejected by the customer

The offer was rejected by similar customers

Similar offers were accepted by the customer

The offer was accepted by similar customers

4. To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________

An entity extraction model

a topic model

a language model

a sentiment model

5. U+ Insurance wants to use Pega Process Al™ to detect fraud and assign suspicious claims to a fraud expert for closer inspection.

To meet this requirement, how does an application developer use the outcome of a predictive fraud model in the case type that processes the incoming claim?

Use the prediction outcome in the condition of an assignment step.

Use the model outcome in the condition of an assignment step.

Use the prediction outcome in the condition of a decision step.

Use the model outcome in the condition of a decision step.

6. U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which rule type must you use?

Decision table

When rule

Adaptive model

Pega machine learning model

7. Which statement about predictive models is true?

You need past experience to create a predictive model.

They need unstructured big data.

They are always associated with a proposition.

They need to be specified in a data attribute.

8. CORRECT TEXT

Results of two simulations can be compared using the___________.

Visual Business Director

Interaction History report

Proposition Distribution report

Predictive Analytics Director

9. Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?

Filter

Champion Challenger

Adaptive Model

Switch

10. When building a predictive model, at what stage do you compare the performance of predictive models?

Model Development stage

Model Analysis stage

Model Export stage

Model Comparison stage

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11. When compared to a Predictive Model, an Adaptive Model is different as it_____________

can use strategy properties as predictors

considers both symbolic and numeric predictors

learns from both positive and negative outcomes

uses predictor binning

12. 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?

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

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

Performance

Score

Propensity

Evidence

14. To build a predictive model, use____________.

Pega Customer Service

Pega Marketing

Pega Decision Management

Pega Platform

15. What is the key component of a Next-Best-Action strategy?

Strategy

Work flow

Decision table

Predictive model

16. To confirm the continuing accuracy of your adaptive models, adaptive models must be regularly inspected.

Which two tasks are part of a regular inspection? (Choose Two)

Update the models______________________________

Check the performance and success rate of the models

Adjust the advanced settings________________

Check the performance of individual predictors

Add the historical data collected since the last inspection

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

select the best model

train the models_____________________

check for robustness of candidate models

compare their performance

analyze the performance characteristics of candidate models

18. In a decision strategy, the Adaptive Model decision component belongs the

Decision Analytics category

Business Rules category

Arbitration category

Predictive Model category

19. Pega machine learning supports the creation of which two distinct types of predictive models? (Choose Two)

Categorical

Continuous

Binary

Numerical

20. As a data scientist, you want to use a predictive model to detect potential churn for a telecom company.

Which three options do you have? (Choose Three)

Import a third party PMML model

Use a Google ML model

Create a Text extraction model

Create an adaptive self-learning model

Use Pega machine learning to build a model

Use a machine learning service

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21. Which statement about predictive models is true?

Predictive models need historical data to be created

Predictive models need to be specified in a data attribute

Predictive models are always associated with an action

Predictive models need unstructured bie data

22. Predictive Analytics is a________________

real time predictive dashboard

method of visualizing our data___________________

science concerned with finding repeatable patterns in

query, reporting and a search tool

23. When implementing a Next-Best-Action project, which step is recommended to be taken first?

Define Issue and Group hierarchy

Define propositions

Define business rules

Define prioritization formula

24. The adaptive model component in a decision strategy computes

A single propensity value for all actions

A unique accept rate for each action

A single accept rate for all actions

A propensity value for each action

25. A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set. The Monte Carlo method

enables the company to generate random data for most of its application needs

generates data that the company can use as input for adaptive decisioning

combines external data sets into a larger data set

makes the organization's live data accessible

26. A very important aspect of each model is how good a model or a given predictor is in predicting the required behavior. When building a predictive model, the use of testing and validation samples___________________

is mandatory for segmentation

validates the quality of input data

enables model validation in strategies

increases the accuracy of models

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

Propensity

Bayesian

Monte Carlo

Import

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

one Set Property component

one Group By component

four Group By components

four Set Property components

29. What happens when you increase the performance threshold setting of an adaptive model rule?

The number of active predictors increases

The performance of the model is increased

The correlation threshold decreases

The number of active predictors may decrease

30. What two tasks does a system architect need to perform to export historical data? (Choose Two)

Switch to a resilient repository

Set the sample percentage for positive and negative outcomes

Export the data set

Validate the predictors used by the adaptive models

Create a data set

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31. What are two of the results of an adaptive model? (choose two)

Performance

Evidence

Priority

Segment

32. 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?

Presumptive analysis

Intent analysis

Subjective analysis

Semantic analysis

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

Strategy properties

Customer properties

Model properties

Action properties

34. Which two factors do you inspect to access the general health of the adaptive models in Prediction Studio? (Choose Two)

Performance of the models

Number of responses

Number of decisions

Model transparency

35. 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?

To ensure that every customer receives the same action

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

To provide insight into business processes

To balance customer needs with business objectives

36. The purpose of model templates when using Pega machine learning is

to set the model outcomes

to set the model context

to streamline model deployment

to streamline model development

37. U+ Insurance uses Pega Process AI™ and wants straight-through processing of claims with a low fraud risk. As a data scientist, you create a prediction that calculates the probability that a claim is fraudulent.

What type of prediction do you create to meet this requirement?

A case management prediction.

A text analytics prediction.

A Customer Decision Hub prediction.

A fraud detection prediction

38. The use of an imported third-party model in a decision strategy is____

Only possible after conversion into a Pega machine learning model

Identical to the use of an adaptive model

Similar to the use of a model built with Pega machine learning

Only possible after conversion into Pega markup language

39. The Pega Customer Decision Hub™ delivers Next-Best-Actions consistently through multiple channels.

To which of the following channels does this apply?

Billboard

Cable television

Mobile

Traditional newspaper

40. 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?

Business levers

Context weighing

Propensity

Action value

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41. 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?

one

twelve

three

two

42. As a data scientist, you are tasked with configuring two predictions that are driven by an adaptive model: one for an inbound channel and one for an outbound channel.

To which setting do you need to pay extra attention?

Response timeout

Adaptive model

Predictor fields

Control group

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