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Pega Data Scientist 8v - Questions

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Quiz on Pega Data Scientist 8v - Questions, created by Vinicius Sa on 25/10/2019.
Vinicius Sa
Quiz by Vinicius Sa, updated more than 1 year ago
Vinicius Sa
Created by Vinicius Sa over 4 years ago
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Resource summary

Question 1

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

Question 2

Question
When during a customer interaction should a Next-Best-Action decision be made?
Answer
  • 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

Question 3

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

Question 4

Question
When executing a decision strategy, the solid line arrow in a decision strategy means data is _______________.
Answer
  • 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

Question 5

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

Question 6

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

Question 7

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

Question 8

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

Question 9

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

Question 10

Question
The Adaptive Model component in a strategy computes ____________
Answer
  • 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

Question 11

Question
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 _____
Answer
  • 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

Question 12

Question
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?
Answer
  • Expression
  • Bayesian
  • Propensity
  • Import

Question 13

Question
In the delta view in Visual Business Director, what does the red colored cone indicate?
Answer
  • 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

Question 14

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

Question 15

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

Question 16

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

Question 17

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

Question 18

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

Question 19

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

Question 20

Question
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?
Answer
  • 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

Question 21

Question
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?
Answer
  • Subjective analysis
  • Presumptive analysis
  • Intent analysis
  • Semantic analysis

Question 22

Question
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 _______
Answer
  • Entities
  • Objects
  • Subjects
  • Topics
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