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Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q113-Q118):
NEW QUESTION # 113
Predictions combine predictive analytics and best practices in data science. As a data scientist, what is a valid reason to adjust the default response timeout in a prediction?
- A. Optimize the success rate
- B. Limit the number of responses
- C. Increase lift
- D. Suit the use case
Answer: D
Explanation:
Explanation
As a data scientist, a valid reason to adjust the default response timeout in a prediction is to suit the use case.
NEW QUESTION # 114
Which statement about the expected performance of a binary model is correct?
- A. The expected performance of a binary model can range from 0 to 100
- B. It is an optional field
- C. The expected performance must be set before the model can be deployed
- D. The expected performance is calculated automatically when using Pega machine learning
Answer: C
Explanation:
Explanation
The expected performance of a binary model must be set before the model can be deployed.
NEW QUESTION # 115
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?
- A. A text analytics prediction.
- B. A Customer Decision Hub prediction.
- C. A case management prediction.
- D. A fraud detection prediction
Answer: C
Explanation:
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 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
NEW QUESTION # 116
U+ Telecom uses predictive analytics in its retention strategy. You have created a predictive model based on recent historical company data and have placed the new model in shadow mode. Which statement is true about the new predictive model?
- A. The active model and the new model affect business outcomes
- B. The new model affects business outcomes
- C. The new model does not affect business outcomes
- D. The active model does not affect business outcomes
Answer: B
Explanation:
Explanation
The new model does not affect business outcomes Reference:
When you place a new predictive model in shadow mode, it does not affect business outcomes.
NEW QUESTION # 117
A Scoring Model allows you to differentiate between
- A. Good, Better, Best
- B. Good, Bad, Unknown
- C. Accept, Reject, Maybe Later
- D. Good, Bad
Answer: A
Explanation:
Explanation
A scoring model allows you to differentiate between Good, Better, and Best outcomes for a given proposition or action. A scoring model assigns a numerical value to each outcome based on its desirability or profitability for the business. References:
https://academy.pega.com/module/predictive-analytics/topic/using-scoring-models
NEW QUESTION # 118
……
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