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Pegasystems Exam PEGACPDS88V1 Topic 1 Question 29 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 29
Topic #: 1
[All PEGACPDS88V1 Questions]

When compared to a Predictive Model, an Adaptive Model is different as it_____________

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Suggested Answer: C

When using machine learning, the Must keywords function aspositive features.


by Kenneth at Jan 11, 2025, 01:01 PM

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Shannon
12 days ago
If I had a nickel for every time I saw 'adaptive' and 'predictive' in the same question, I'd have enough to buy the entire exam question pool.
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Mitsue
13 days ago
Strategy properties as predictors? Sounds like a game of chess, not a data science exam. Option A is way off the mark.
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Luz
14 days ago
Hah, predictor binning? What is this, a laundry detergent commercial? Option D is clearly a trick answer.
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Lorenza
15 days ago
I'm not sure about the difference between symbolic and numeric predictors. Option B seems to be a bit too technical for my liking.
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Kimberlie
1 months ago
Option C seems to be the correct answer. An adaptive model learns from both positive and negative outcomes, unlike a predictive model which may only consider positive outcomes.
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Isaiah
7 days ago
That's true, unlike a predictive model which may only consider positive outcomes.
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Lynette
13 days ago
Yes, an adaptive model learns from both positive and negative outcomes.
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Casie
15 days ago
I think option C is the correct answer.
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Abel
2 months ago
I believe an Adaptive Model considers both symbolic and numeric predictors as well.
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Jacqueline
2 months ago
I agree with Margurite. It's important for the model to adapt based on different outcomes.
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Margurite
2 months ago
I think an Adaptive Model learns from both positive and negative outcomes.
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