Vinicius Sa
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Quiz on Pega Data Scientist 8v - Questions, created by Vinicius Sa on 25/10/2019.

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Pega Data Scientist 8v - Questions

Question 1 of 22

1

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

Select one of the following:

  • Newspaper

  • Television

  • Billboard

  • Mobile

Explanation

Question 2 of 22

1

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

Select one of the following:

  • 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

Explanation

Question 3 of 22

1

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

Select one of the following:

  • Data Include

  • Data Join

  • Property Import

  • Proposition Data

Explanation

Question 4 of 22

1

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

Select one of the following:

  • 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

Explanation

Question 5 of 22

1

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

Select one of the following:

  • Proposition

  • Data Join

  • Arbitration

  • Filter

Explanation

Question 6 of 22

1

To implement eligibility criteria you can use a ____________ component.

Select one of the following:

  • Switch

  • Group by

  • Segment

  • Decision Table

Explanation

Question 7 of 22

1

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

Select one of the following:

  • The strategy outcome

  • Customer data

  • Performance data

  • Proposition identifier

Explanation

Question 8 of 22

1

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

Select one of the following:

  • pyOutcome

  • pxRank

  • pxSegment

  • pyPropensity

Explanation

Question 9 of 22

1

Adaptive model components can output ____________

Select one of the following:

  • an optimised strategy

  • the customer's propensity to accept a proposition

  • a proposition

  • the number of customers eligible for a proposition

Explanation

Question 10 of 22

1

The Adaptive Model component in a strategy computes ____________

Select one of the following:

  • 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

Explanation

Question 11 of 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 _____

Select one of the following:

  • 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

Explanation

Question 12 of 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?

Select one of the following:

  • Expression

  • Bayesian

  • Propensity

  • Import

Explanation

Question 13 of 22

1

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

Select one of the following:

  • 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

Explanation

Question 14 of 22

1

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

Select one of the following:

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

  • real-time customer interactions data

  • customer data

  • proposition data

Explanation

Question 15 of 22

1

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

Select one of the following:

  • Number

  • Character

  • Integer

  • Numeric

Explanation

Question 16 of 22

1

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

Select one of the following:

  • probability of a loan default

  • probability of churn

  • purchase value of a campaign respondent

  • acceptance of an offer

Explanation

Question 17 of 22

1

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

Select one of the following:

  • Adaptive model

  • Regression Model

  • Text Model

  • Decision Table

Explanation

Question 18 of 22

1

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

Select one of the following:

  • Scorecard

  • Decision tree

  • Predictive model

  • Third-party Model

Explanation

Question 19 of 22

1

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

Select one of the following:

  • considers both symbolic and numeric predictors

  • uses customer properties as predictors

  • uses predictive binning

  • cannot perform a spectrum model calculation

Explanation

Question 20 of 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?

Select one of the following:

  • 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

Explanation

Question 21 of 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?

Select one of the following:

  • Subjective analysis

  • Presumptive analysis

  • Intent analysis

  • Semantic analysis

Explanation

Question 22 of 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 _______

Select one of the following:

  • Entities

  • Objects

  • Subjects

  • Topics

Explanation

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