Pegasystems PEGACPDS88V1 Exam - Topic 1 Question 31 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 31
Topic #: 1

[All PEGACPDS88V1 Questions]

Pega machine learning supports the creation of which two distinct types of predictive models? (Choose Two)

ACategorical

BContinuous

CBinary

DNumerical

Show Suggested Answer

Suggested Answer: C

The Pega Customer Decision Hub delivers Next-Best-Actions consistently through multiple channels. This applies toMobilechannels.

by Mireya at Feb 12, 2025, 06:01 AM

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Marquetta

3 months ago

Continuous models? Never heard of that in Pega.

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Yuriko

3 months ago

I agree with A and C!

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Evangelina

3 months ago

Wait, are there really two types? Sounds odd.

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Arlen

4 months ago

I think it's B and C, right?

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James

4 months ago

Definitely C and A!

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Jaclyn

4 months ago

I definitely recall that Pega uses categorical models, but I can't remember if the second one is continuous or binary.

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Elmira

4 months ago

I’m a bit confused; I thought binary and categorical were the same thing, but now I’m not so sure.

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Herman

4 months ago

I remember practicing with similar questions, and I believe continuous and categorical are the right choices.

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Adrianna

5 months ago

I think Pega supports categorical and binary models, but I'm not entirely sure about the binary part.

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An

5 months ago

I remember learning about Pega's predictive modeling features in class. I believe it supports both binary and numerical models, so I'll select those.

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Melvin

5 months ago

Okay, let's see. Categorical and continuous models seem like the most likely options here. I'll go with those and hope I've got the right answer.

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Della

5 months ago

Hmm, I'm a bit unsure about this one. I know Pega has machine learning capabilities, but I can't recall the specific types of models it supports. I'll have to think this through carefully.

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Shaun

5 months ago

I'm pretty sure Pega supports both categorical and continuous predictive models, so I'll select those two options.

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Serina

9 months ago

Wait, where's the option for predicting the weather with a crystal ball? Isn't that Pega's secret superpower?

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Leanna

9 months ago

A and B, easy peasy. Pega is all about that continuous learning, am I right? *wink wink*

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Kristin

8 months ago

D) Numerical

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Berry

8 months ago

C) Binary

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Rozella

8 months ago

Definitely! Pega machine learning is all about continuous learning and improving predictive models.

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Twila

9 months ago

B) Continuous

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Aliza

9 months ago

A) Categorical

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Valentin

10 months ago

This is too easy, everyone knows Pega supports both categorical and continuous models. The options are trying to trick us!

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Reynalda

8 months ago

Definitely, the options are just there to confuse us.

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William

8 months ago

I agree, Pega supports both categorical and continuous models.

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Tanja

9 months ago

D) Numerical

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Ethan

9 months ago

C) Binary

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Lenna

9 months ago

B) Continuous

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Lorean

9 months ago

A) Categorical

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Phyliss

10 months ago

D must be right, Pega can handle numerical predictive models for sure. But I'm not sure about the other one...

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Tambra

8 months ago

I believe it's C and B, Pega supports binary and continuous predictive models.

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Raelene

8 months ago

B) Continuous

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Ena

8 months ago

C) Binary

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Stephaine

8 months ago

I think it's A and D, Pega can handle both categorical and numerical predictive models.

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Jamie

8 months ago

D) Numerical

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Mabel

9 months ago

A) Categorical

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Lina

10 months ago

I think A and C are the correct answers. Categorical and binary models are definitely supported by Pega's machine learning capabilities.

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Phillip

8 months ago

I believe it's A and B. Categorical and continuous models are the ones supported by Pega's machine learning capabilities.

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Magnolia

9 months ago

I'm pretty sure it's B and C. Continuous and binary models are the types of predictive models that Pega's machine learning can create.

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Carlton

9 months ago

I think it's actually A and D. Categorical and numerical models are the ones supported by Pega's machine learning.

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Christa

10 months ago

I agree, A and C are the correct answers. Pega supports categorical and binary predictive models.

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Nida

10 months ago

I'm not sure about the answer, but I think A) Categorical and D) Numerical could also be possible choices.

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Arminda

11 months ago

I agree with Herman, those two types of predictive models make sense for Pega machine learning.

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Herman

11 months ago

I think the answer is A) Categorical and C) Binary.

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