Pega Data Scientist 8v - Questions

Descripción

Test sobre Pega Data Scientist 8v - Questions, creado por Vinicius Sa el 25/10/2019.
Vinicius Sa
Test por Vinicius Sa, actualizado hace más de 1 año
Vinicius Sa
Creado por Vinicius Sa hace alrededor de 5 años
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Resumen del Recurso

Pregunta 1

Pregunta
The Pega Customer Decision Hub delivers the Next-Best-Action consistently through multiple channels. To which channel does this apply?
Respuesta
  • Newspaper
  • Television
  • Billboard
  • Mobile

Pregunta 2

Pregunta
When during a customer interaction should a Next-Best-Action decision be made?
Respuesta
  • When the customer intent is captured
  • First time the customer is shown a banner
  • Every time new information is received
  • At the beginning of customer call

Pregunta 3

Pregunta
In a decision strategy, which component is required to enable access to proposition properties?
Respuesta
  • Data Include
  • Data Join
  • Property Import
  • Proposition Data

Pregunta 4

Pregunta
When executing a decision strategy, the solid line arrow in a decision strategy means data is _______________.
Respuesta
  • referenced by the component the arrow points to
  • referenced by the component the arrow originates from
  • copied to the component the arrow originates from
  • copied to the component the arrow points to

Pregunta 5

Pregunta
Which of these belong to the same group as the Prioritize component?
Respuesta
  • Proposition
  • Data Join
  • Arbitration
  • Filter

Pregunta 6

Pregunta
To implement eligibility criteria you can use a ____________ component.
Respuesta
  • Switch
  • Group by
  • Segment
  • Decision Table

Pregunta 7

Pregunta
What is provided as input to a predictive model component by the strategy?
Respuesta
  • The strategy outcome
  • Customer data
  • Performance data
  • Proposition identifier

Pregunta 8

Pregunta
The output of a predictive model is accessible by other components in the strategy via a property called ____________
Respuesta
  • pyOutcome
  • pxRank
  • pxSegment
  • pyPropensity

Pregunta 9

Pregunta
Adaptive model components can output ____________
Respuesta
  • an optimised strategy
  • the customer's propensity to accept a proposition
  • a proposition
  • the number of customers eligible for a proposition

Pregunta 10

Pregunta
The Adaptive Model component in a strategy computes ____________
Respuesta
  • a single accept rate for all propositions
  • a unique propensity for each proposition
  • a single propensity for all propositions
  • a unique accept rate for each proposition

Pregunta 11

Pregunta
A coffee company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. The Monte Carlo method _____
Respuesta
  • generates millions of rows with minimal effort
  • makes the organisation's live data accessible
  • generates data that the company can use as input for adaptive decisioning
  • combines external data sets into a larger data set

Pregunta 12

Pregunta
A coffee company wants to create a data set that includes mock up customer address information and the likelihood to churn. Which method is available to populate these fields?
Respuesta
  • Expression
  • Bayesian
  • Propensity
  • Import

Pregunta 13

Pregunta
In the delta view in Visual Business Director, what does the red colored cone indicate?
Respuesta
  • The source data value is too small
  • The source data value is smaller than the reference data value
  • The source data value is larger than the reference data value
  • The source data value is too large

Pregunta 14

Pregunta
The Actuals data set, that can be inspected with Visual Business Director, contains ____________
Respuesta
  • the delta of the source data set and the reference data set
  • real-time customer interactions data
  • customer data
  • proposition data

Pregunta 15

Pregunta
When developing a predictive model, a valid data type for a predictor is _______________.
Respuesta
  • Number
  • Character
  • Integer
  • Numeric

Pregunta 16

Pregunta
When developing a predictive model, the outcome of a spectrum model can indicate the _______________.
Respuesta
  • probability of a loan default
  • probability of churn
  • purchase value of a campaign respondent
  • acceptance of an offer

Pregunta 17

Pregunta
Which Predictive Modeling Markup Language (PMML) model type is supported by Pega?
Respuesta
  • Adaptive model
  • Regression Model
  • Text Model
  • Decision Table

Pregunta 18

Pregunta
Which rule is used to upload a Predictive Modeling Markup Language (PMML) file that contains a Tree model type?
Respuesta
  • Scorecard
  • Decision tree
  • Predictive model
  • Third-party Model

Pregunta 19

Pregunta
When compared to a Predictive Model, an Adaptive Model is different as it _______________.
Respuesta
  • considers both symbolic and numeric predictors
  • uses customer properties as predictors
  • uses predictive binning
  • cannot perform a spectrum model calculation

Pregunta 20

Pregunta
A large online store wants to adapt to changing customer behavior, and at the same time does not want to get carried away by every next hype in the market. Adaptive models can help accomplish both business objectives. Which statement about adaptive models is correct?
Respuesta
  • Adaptive models require no historic data to get started
  • Adaptive models require underlying predictive models
  • Adaptive models are regression models
  • Adaptive models perform a spectrum model calculation

Pregunta 21

Pregunta
A telecommunications company wants to apply text analysis to incoming emails to understand how satisfied its customers are about various products and services. That requires processing of the natural language of the email texts. Which analysis occurs during natural language processing?
Respuesta
  • Subjective analysis
  • Presumptive analysis
  • Intent analysis
  • Semantic analysis

Pregunta 22

Pregunta
A telecommunications company wants to monitor Twitter data and generate an adequate response. Text analytics detects proper nouns such as names, dates, and places as _______
Respuesta
  • Entities
  • Objects
  • Subjects
  • Topics
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