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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Gracie

12 hours ago

Surprised by A, that sounds like overkill to me!

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Delfina

6 days ago

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

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Herschel

11 days ago

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

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Carmen

16 days ago

A seems excessive, 500 predictors? Really?

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Tamekia

21 days 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

26 days 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

1 month ago

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

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Brock

1 month ago

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

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Mari

1 month 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

2 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

2 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

2 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

2 months ago

B is definitely important! Variety helps.

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Jerry

2 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

2 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

3 months ago

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

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Reena

3 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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Jacob

3 months ago

Okay, I've got this. I'll make sure to choose a wide range of properties from different sources to get a comprehensive set of predictors.

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Rosendo

3 months ago

Hmm, this is a tricky one. I'll need to think carefully about the different factors to consider when selecting predictors.

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