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Quiz sobre Pega Data Scientist 8v - Questions, criado por Vinicius Sa em 25-10-2019.

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Pega Data Scientist 8v - Questions

Questão 1 de 22

1

The Pega Customer Decision Hub delivers the Next-Best-Action consistently through multiple channels. To which channel does this apply?

Selecione uma das seguintes:

  • Newspaper

  • Television

  • Billboard

  • Mobile

Explicação

Questão 2 de 22

1

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

Selecione uma das seguintes:

  • 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

Explicação

Questão 3 de 22

1

In a decision strategy, which component is required to enable access to proposition properties?

Selecione uma das seguintes:

  • Data Include

  • Data Join

  • Property Import

  • Proposition Data

Explicação

Questão 4 de 22

1

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

Selecione uma das seguintes:

  • 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

Explicação

Questão 5 de 22

1

Which of these belong to the same group as the Prioritize component?

Selecione uma das seguintes:

  • Proposition

  • Data Join

  • Arbitration

  • Filter

Explicação

Questão 6 de 22

1

To implement eligibility criteria you can use a ____________ component.

Selecione uma das seguintes:

  • Switch

  • Group by

  • Segment

  • Decision Table

Explicação

Questão 7 de 22

1

What is provided as input to a predictive model component by the strategy?

Selecione uma das seguintes:

  • The strategy outcome

  • Customer data

  • Performance data

  • Proposition identifier

Explicação

Questão 8 de 22

1

The output of a predictive model is accessible by other components in the strategy via a property called ____________

Selecione uma das seguintes:

  • pyOutcome

  • pxRank

  • pxSegment

  • pyPropensity

Explicação

Questão 9 de 22

1

Adaptive model components can output ____________

Selecione uma das seguintes:

  • an optimised strategy

  • the customer's propensity to accept a proposition

  • a proposition

  • the number of customers eligible for a proposition

Explicação

Questão 10 de 22

1

The Adaptive Model component in a strategy computes ____________

Selecione uma das seguintes:

  • 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

Explicação

Questão 11 de 22

1

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 _____

Selecione uma das seguintes:

  • 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

Explicação

Questão 12 de 22

1

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?

Selecione uma das seguintes:

  • Expression

  • Bayesian

  • Propensity

  • Import

Explicação

Questão 13 de 22

1

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

Selecione uma das seguintes:

  • 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

Explicação

Questão 14 de 22

1

The Actuals data set, that can be inspected with Visual Business Director, contains ____________

Selecione uma das seguintes:

  • the delta of the source data set and the reference data set

  • real-time customer interactions data

  • customer data

  • proposition data

Explicação

Questão 15 de 22

1

When developing a predictive model, a valid data type for a predictor is _______________.

Selecione uma das seguintes:

  • Number

  • Character

  • Integer

  • Numeric

Explicação

Questão 16 de 22

1

When developing a predictive model, the outcome of a spectrum model can indicate the _______________.

Selecione uma das seguintes:

  • probability of a loan default

  • probability of churn

  • purchase value of a campaign respondent

  • acceptance of an offer

Explicação

Questão 17 de 22

1

Which Predictive Modeling Markup Language (PMML) model type is supported by Pega?

Selecione uma das seguintes:

  • Adaptive model

  • Regression Model

  • Text Model

  • Decision Table

Explicação

Questão 18 de 22

1

Which rule is used to upload a Predictive Modeling Markup Language (PMML) file that contains a Tree model type?

Selecione uma das seguintes:

  • Scorecard

  • Decision tree

  • Predictive model

  • Third-party Model

Explicação

Questão 19 de 22

1

When compared to a Predictive Model, an Adaptive Model is different as it _______________.

Selecione uma das seguintes:

  • considers both symbolic and numeric predictors

  • uses customer properties as predictors

  • uses predictive binning

  • cannot perform a spectrum model calculation

Explicação

Questão 20 de 22

1

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?

Selecione uma das seguintes:

  • 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

Explicação

Questão 21 de 22

1

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?

Selecione uma das seguintes:

  • Subjective analysis

  • Presumptive analysis

  • Intent analysis

  • Semantic analysis

Explicação

Questão 22 de 22

1

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 _______

Selecione uma das seguintes:

  • Entities

  • Objects

  • Subjects

  • Topics

Explicação