Pegasystems Exam PEGACPDS88V1 Topic 3 Question 19 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 19
Topic #: 3

It is highly recommended to leave the default settings of an adaptive model inchanged. Why is it important to follow this guideline?

AThe settings are automatically adjusted during adaptive learning

BUsing the default settings is based on best practices

CChanging the settings has no effect on model performance

DChanging the settings is not a task for a data scientist

Show Suggested Answer

Suggested Answer: B

by Precious at Aug 28, 2024, 02:29 AM

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Latanya

17 days ago

Well, changing settings might affect model performance negatively.

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Gilma

23 days ago

But what if we need to customize the model?

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Leatha

24 days ago

I agree, using default settings is usually the best practice.

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Nguyet

24 days ago

You know, I heard a rumor that if you change the settings, the model starts doing the Macarena. But hey, don't quote me on that!

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Dalene

25 days ago

C is clearly the answer. Changing the settings? Pffft, that's like trying to improve a flawless masterpiece. Leave it alone, folks!

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Reed

27 days ago

Hmm, I'm torn between A and B. I mean, if the settings are self-adjusting, then why bother changing them, right? But B does make sense too. Either way, I'm not going to be the one to mess it up!

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Joesph

12 days ago

Yeah, I agree. Let's not risk it by changing the default settings.

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Moon

23 days ago

I think B is the safest option. Best practices are there for a reason.

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Latanya

27 days ago

I think it's important to follow the guideline.

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Glendora

1 months ago

D all the way. Changing the settings is way out of my league as a data scientist. I'm just here to analyze the data, not get my hands dirty with the model itself.

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Elina

19 days ago

A) The settings are automatically adjusted during adaptive learning

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Jacklyn

27 days ago

B) Using the default settings is based on best practices

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Ona

2 months ago

I think option B is the way to go. The default settings are there for a reason - they're based on industry best practices. Don't mess with a good thing, you know?

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