QUESTION: 45

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?

Use the prediction outcome in the condition of an assignment step.
Use the model outcome in the condition of an assignment step.
Use the prediction outcome in the condition of a decision step.
Use the model outcome in the condition of a decision step.

Answer(s): D

Explanation:

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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QUESTION: 46

You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives.
What factors do you consider in the prioritization expression?

product eligibility rules
customer contact rules
product compatibility rules
business levers

Answer(s): D

Explanation:

Business levers are factors that you consider in the prioritization expression to balance the customer needs with the business objectives. They can include revenue, cost, risk, retention, satisfaction, or any other custom metric that reflects the value of an action.

Reference:

https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/using-business-levers

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QUESTION: 47

Pega Decision Management enables organizations to make next-best-action decisions. To which types of decisions can next-best-action be applied?

Determining how to optimize the product portfolio to increase market share
Determining why response rates for a campaign in one region are below average
Determining the cause of a customer's problem
Determining which banner to show on a web site to increase click rate

Answer(s): D

Explanation:

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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QUESTION: 48

U+ Insurance uses Pega Process AITM and wants straight-through processing of claims with a low fraud risk. As a data scientist, you create a prediction that calculates the probability that a claim is fraudulent.
What type of prediction do you create to meet this requirement?

A case management prediction.
A text analytics prediction.
A Customer Decision Hub prediction.
A fraud detection prediction

Answer(s): A

Explanation:

to create a prediction that calculates the probability that a claim is fraudulent, you need to create a case management prediction. This type of prediction allows you to use predictive models built on external platforms such as H2O.ai and apply them to case types in Pega Process AITM. You can then use the prediction outcome in a decision step to route claims based on their fraud risk. https://academy.pega.com/challenge/creating-fraud-prediction/v3

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Free PEGACPDS88V1 Exam Braindumps (page: 12)

QUESTION: 45

Explanation:

QUESTION: 46

Explanation:

Reference:

QUESTION: 47

Explanation:

QUESTION: 48

Explanation: