PEGACPDS88V1 - Latest Training Dumps

Latest Success Metrics For Actual PEGACPDS88V1 Exam 2024 Realistic Dumps

Updated PEGACPDS88V1 Dumps Questions For Pegasystems Exam

The PEGACPDS88V1 certification can benefit data scientists in many ways. Certified Pega Data Scientist 88V1 certification demonstrates a candidate’s proficiency in using Pega’s platform and tools, which can help them advance their careers. Certified Pega Data Scientist 88V1 certification can also help data scientists to showcase their expertise to potential employers and clients. Additionally, the certification can give data scientists a competitive edge over their peers in the job market.

QUESTION 35
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.

QUESTION 36
When defining outcomes for an Adaptive Model you must define

only negative behavior values

positive, negative and neutral behavior values

one or more positive behavior values

behavior values to be ignored

QUESTION 37
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)

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

QUESTION 38
The result of a Predictive Model is stored in a property called__________.

pyPrediction

pxResult

pyOutcome

pxSegment

QUESTION 39
Results of two simulations can be compared using the___________.

Visual Business Director

Interaction History report

Proposition Distribution report

Predictive Analytics Director

C
Proposition Distribution report Reference:
The Proposition Distribution report is used to compare the results of two simulations.

QUESTION 40
When building a predictive model, the Data Analysis stage is where you

create data samples

select the input data

group predictors

determine the output field

QUESTION 41
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

QUESTION 42
To enable an assessment of its reliability the adaptive model produces four outputs: propensity,performance, evidence and positives.
The Performance of an adaptive model that has not collected any evidence yet is______.

100

QUESTION 43
Which decision component allows you to monitor the real-time performance of a third- party Churn Model?

Scorecard Model

Adaptive Model

PMML Model

Predictive Model

QUESTION 44
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

QUESTION 45
To build a predictive model, use____________.

Pega Customer Service

Pega Marketing

Pega Decision Management

Pega Platform

QUESTION 46
How does a prediction help in proactive retention?

The prediction selects the next best action

The prediction suggests the best offer

The prediction predicts the customer’s churn risk

The prediction identifies successful offers in past interactions

QUESTION 47
Which property is automatically recomputed for each decision component?

Property

Rank

Order

Priority

QUESTION 48
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

QUESTION 49
The decision components use on the strategy canvas can be individually configured.
Which function is available when configuring the Group By component?

Multiply

Divide

True if Some

Count

QUESTION 50
When building a predictive model, what is a valid predictor data type?

Symbolic

Boolean

String

Character

QUESTION 51
Lift is key metric for the performance of the adaptive models.
To measure lift, you need a____________

Standard model as a benchmark

Control group with random actions

Control group with a new action

New adaptive model

QUESTION 52
The filter component is used to filter_______

Actions

Customers

Adaptive models

attributes

QUESTION 53
Adaptive models can start to learn without historical evidence. What is the starting propensity of every action?

0.5

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Latest Success Metrics For Actual PEGACPDS88V1 Exam 2024 Realistic Dumps [Q35-Q53]