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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

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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
1 day ago
B covers the bases. We need diverse predictors!
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Fidelia
6 days ago
D is interesting, but not always essential.
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Karol
11 days ago
C is too limiting. Numeric isn't always necessary.
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Selma
17 days ago
I agree with B. More sources mean better insights.
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Whitney
22 days ago
A seems too high. 500 predictors? That's overwhelming!
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Stephaine
27 days ago
I think B is the best choice. Variety is key!
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Gracie
2 months ago
Surprised by A, that sounds like overkill to me!
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Delfina
2 months ago
Totally agree with D, date properties can be super useful!
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Herschel
2 months ago
I thought numeric types were only for numbers, not integers?
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Carmen
2 months ago
A seems excessive, 500 predictors? Really?
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Tamekia
2 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
2 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
3 months ago
D) Select at least one date property? Hmm, I'm not so sure about that one.
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Brock
3 months ago
C) Always use numeric type for integer properties? Seriously? That's just asking for trouble.
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Mari
3 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
3 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
3 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
3 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
4 months ago
B is definitely important! Variety helps.
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Jerry
4 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
4 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
4 months ago
B) Consider properties from a wide range of sources seems like the best option to me.
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Reena
4 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
5 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
5 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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