Pegasystems PEGACPDS88V1 Exam - Topic 4 Question 42 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 42
Topic #: 4

[All PEGACPDS88V1 Questions]

When selecting the list of predictors for an adaptive model you should

ASelect up to a maximum of 500 predictors

BConsider properties from a wide range of sources

CAlways use numeric type for integer properties

DSelect at least one date property

Show Suggested Answer

Suggested Answer: B

When selecting the list of predictors for an adaptive model you should consider properties from a wide range of sources. Predictors are properties that influence the customer behavior and can be derived from various sources such as customer profile, interaction history, proposition details, etc. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision-adaptivemodel/main.htm

by Alysa at Nov 21, 2025, 06:00 PM

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Dino

2 months ago

B covers the bases. We need diverse predictors!

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Fidelia

2 months ago

D is interesting, but not always essential.

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Karol

2 months ago

C is too limiting. Numeric isn't always necessary.

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Selma

2 months ago

I agree with B. More sources mean better insights.

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Whitney

2 months ago

A seems too high. 500 predictors? That's overwhelming!

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Stephaine

2 months ago

I think B is the best choice. Variety is key!

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Gracie

3 months ago

Surprised by A, that sounds like overkill to me!

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Delfina

3 months ago

Totally agree with D, date properties can be super useful!

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Herschel

3 months ago

I thought numeric types were only for numbers, not integers?

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Carmen

4 months ago

A seems excessive, 500 predictors? Really?

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Tamekia

4 months ago

Choosing the right predictors is like a game of Tetris - you gotta fit all the pieces together just right!

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Layla

4 months ago

A) Select up to a maximum of 500 predictors? That's a lot of predictors! I wonder if my computer can handle that.

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Leandro

4 months ago

D) Select at least one date property? Hmm, I'm not so sure about that one.

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Brock

4 months ago

C) Always use numeric type for integer properties? Seriously? That's just asking for trouble.

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Mari

4 months ago

I vaguely remember something about date properties being important for time series analysis, so D could be relevant, but I need to double-check that.

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Loreta

5 months ago

I feel like option C is a bit tricky; I thought we could use both numeric and categorical types for integer properties, but I can't recall the specifics.

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Zena

5 months ago

I remember a practice question that emphasized the importance of including various types of predictors, so I might lean towards B as well.

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Gianna

5 months ago

I think option B makes the most sense since using diverse sources can improve the model's accuracy, but I'm not entirely sure.

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Sharen

5 months ago

B is definitely important! Variety helps.

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Jerry

5 months ago

I've got a good strategy for this. I'll start by identifying up to 500 potential predictors, then narrow it down based on the other criteria. Gotta cover all my bases!

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Joesph

5 months ago

Wait, do we really need to use numeric type for integer properties? I'm not sure about that one.

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Arlene

6 months ago

B) Consider properties from a wide range of sources seems like the best option to me.

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Reena

6 months ago

I'm a bit confused about the date property requirement. Does that mean I have to include at least one date property, or is that just an optional consideration?

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