QUESTION: 41

.Prediction Studio supports keyword-based topic detection, model-based topic detection, or a combination of both.
When using a text prediction based on machine learning with keywords configured,_________________.

the Not keywords function as negative features
the keywords are ignored
the Must keywords are required to detect the topic
keywords and training data have a similar impact on the model

Answer(s): A

Explanation:

When using a text prediction based on machine learning with keywords configured, the Not keywords function as negative features, meaning that they reduce the probability of detecting the topic if they appear in the text. The Must keywords and May keywords do not have any impact on the machine learning model.

Reference:

https://academy.pega.com/module/text- analytics/topic/configuring-keywords

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QUESTION: 42

The decision components used on the strategy canvas are interconnected by arrows.
What does a solid arrow from a "Set Property" component to a "Filter" component mean?

To evaluate the "Set Property" component, the "Filter" component is evaluated first.
There is a one-to-one relationship between a "Set Property" and a "Filter" component.
A property from the "Set Property" component is referenced by the "Filter" component.
Information from the "Set Property" component is copied over to the "Filter" component.

Answer(s): C

Explanation:

A solid arrow from a "Set Property" component to a "Filter" component means that a property from the "Set Property" component is referenced by the "Filter" component. For example, you can use a "Set Property" component to calculate a customer's age and then use a "Filter" component to remove actions that are not suitable for that age group.

Reference:

https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/setting-properties

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QUESTION: 43

A contact center application recommends relevant actions for each customer. The business team wants to know the possible ways in which these actions can be ordered so that the contact center agent can discuss one proposition at a time, starting from the top. As a strategy designer, what are your two options if you use a Prioritize component to order the actions? (Choose Two)

In a random order
In alphabetical order based on the action name
In descending order based on a numerical value
In ascending order based on a numerical value

Answer(s): C,D

Explanation:

The prioritize component is used to order actions based on a numerical value, such as priority, propensity, or custom expression. You can choose to sort the actions in descending or ascending order.

Reference:

https://academy.pega.com/module/creating-and-understanding-decision- strategies-archived/topic/prioritizing-actions

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QUESTION: 44

U+ Insurance uses Pega Process AITM to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models.
When you open the monitoring tab of the adaptive model rule, you see the following chart:

In this scenario, the system creates an adaptive model for each

case type instance
case type
case type step
case type stage

Answer(s): B

Explanation:

In this scenario, the system creates an adaptive model for each case type, such as claim or complaint. The adaptive model learns from the outcomes of each case type and predicts the probability of case completion for each customer.

Reference:

https://academy.pega.com/module/predicting-customer- behavior-using-real-time-data-archived/topic/adaptive-models-case-management

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