Pegasystems Exam PEGACPDS88V1 Topic 5 Question 28 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 28
Topic #: 5

As a data scientist, you are tasked with configuring two predictions that are driven by an adaptive model: one for an inbound channel and one for an outbound channel. To which setting do you need to pay extra attention?

AResponse timeout

BAdaptive model

CPredictor fields

DControl group

Show Suggested Answer

Suggested Answer: A

As a data scientist, a valid reason to adjust the default response timeout in a prediction is tosuit the use case.

by France at Dec 04, 2024, 08:35 AM

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Buddy

23 days ago

Pfft, adaptive model? I'm more worried about the 'adapting to my caffeine levels' model. Where's the extra-strong coffee setting?

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Aide

25 days ago

Control group? More like control freak, am I right? Everyone knows the adaptive model is where it's at!

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Nadine

1 days ago

Definitely, the control group is important for comparison purposes.

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Xenia

8 days ago

I agree, the adaptive model is crucial for accurate predictions.

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Lelia

28 days ago

Hmm, I think the response timeout is the key here. Can't have those predictions getting stuck in limbo, am I right?

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Natalie

1 months ago

I'd say the predictor fields. Those are critical for the model to work its magic, you know? Gotta get those just perfect.

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Oliva

9 days ago

Yes, predictor fields play a key role in the success of the adaptive model.

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Janna

10 days ago

Definitely, the model won't be effective without the right predictor fields.

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Titus

11 days ago

I agree, predictor fields are crucial for accurate predictions.

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Tuyet

1 months ago

Definitely the adaptive model! That's the heart of the whole setup, gotta make sure it's configured just right.

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Aleta

24 days ago

B) Adaptive model

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Lilli

25 days ago

A) Response timeout

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Benedict

2 months ago

But don't forget about the predictor fields, they also play a key role in the predictions.

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Herminia

2 months ago

I agree with Stevie, the adaptive model is crucial for accurate predictions.

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Stevie

2 months ago

I think we should pay extra attention to the adaptive model.

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