Pegasystems PEGACPDS88V1 Exam - 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_____________

Acan use strategy properties as predictors

Bconsiders both symbolic and numeric predictors

Clearns from both positive and negative outcomes

Duses predictor binning

Show Suggested Answer

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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Filiberto

4 months ago

Binning is cool, but is it really that different?

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Vincenza

4 months ago

I think they focus more on negative outcomes too.

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Sheridan

4 months ago

Wait, can they really use both types of predictors?

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Martha

4 months ago

Totally agree, they learn from outcomes!

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Tegan

4 months ago

A models adapt over time, right?

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Adell

5 months ago

I’m a bit confused; I thought Adaptive Models could also use strategy properties, which makes me wonder if A could be correct too.

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Derick

5 months ago

I practiced a question like this, and I feel like the key difference is about learning from outcomes, so C seems right to me.

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Donte

5 months ago

I remember something about how Adaptive Models can use different types of predictors, which might relate to B.

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Mariann

5 months ago

I think an Adaptive Model learns from outcomes, so maybe it's C? But I'm not entirely sure.

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I'm pretty confident on this one. Adaptive models learn from both positive and negative outcomes, which allows them to adjust and improve over time. That's the main distinction from a static predictive model. Option C is my choice.

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Chery

5 months ago

Ah, I see the key difference now. Adaptive models consider both symbolic and numeric predictors, while predictive models may be limited to one or the other. I'll select option B.

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Nancey

5 months ago

Okay, I think I've got this. Adaptive models can use strategy properties as predictors, which is different from a standard predictive model. I'll go with option A.

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Vanna

5 months ago

Hmm, I'm a bit unsure about this. I know adaptive models are supposed to be more flexible, but I'm not sure exactly how they differ from predictive models.

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Veronika

5 months ago

This is a tricky one. I'll need to think carefully about the differences between predictive and adaptive models to answer this.

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Shannon

10 months 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

10 months 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

10 months ago

Hah, predictor binning? What is this, a laundry detergent commercial? Option D is clearly a trick answer.

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Lorenza

10 months 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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Alysa

8 months ago

D) uses predictor binning

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Berry

9 months ago

Symbolic predictors are based on categories or labels, while numeric predictors are based on numbers.

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Miesha

9 months ago

C) learns from both positive and negative outcomes

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Farrah

9 months ago

A) can use strategy properties as predictors

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Kimberlie

11 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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