.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,_________________.
Answer(s): A
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.
https://academy.pega.com/module/text- analytics/topic/configuring-keywords
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?
Answer(s): C
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.
https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/setting-properties
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)
Answer(s): C,D
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.
https://academy.pega.com/module/creating-and-understanding-decision- strategies-archived/topic/prioritizing-actions
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
Answer(s): B
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.
https://academy.pega.com/module/predicting-customer- behavior-using-real-time-data-archived/topic/adaptive-models-case-management
U+ Insurance wants to use Pega Process AlTM to detect fraud and assign suspicious claims to a fraud expert for closer inspection.To meet this requirement, how does an application developer use the outcome of a predictive fraud model in the case type that processes the incoming claim?
Answer(s): D
Pega Process AITM lets you bring your own predictive models to Pega and use predictions in case types to optimize the way your application processes work and meet your business goals. To use the outcome of a predictive fraud model in the case type that processes the incoming claim,you need to use the model outcome in the condition of a decision step2. This way, you can route suspicious claims to a fraud expert for closer inspection based on the model's prediction.
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