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Pegasystems Exam PEGACPDS88V1 Topic 7 Question 37 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 37
Topic #: 7
[All PEGACPDS88V1 Questions]

U+ Insurance uses Pega Process AI 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?

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Suggested Answer: A

to create a prediction that calculates the probability that a claim is fraudulent, you need to createa 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 AI. 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


Contribute your Thoughts:

Shalon
22 hours ago
I agree with Kristian, a fraud detection prediction would be the best choice for low fraud risk.
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Kristian
5 days ago
I think the prediction should be a fraud detection prediction.
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Corazon
10 days ago
Hmm, I'd say a Customer Decision Hub prediction might be the way to go. Gives you a more holistic view of the customer, you know?
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Richelle
12 days ago
A fraud detection prediction sounds like the way to go. Gotta catch those sneaky fraudsters before they strike!
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Marge
4 days ago
A fraud detection prediction sounds like the way to go.
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